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Started by Rick Schlichting
Tue, 22 Dec 1992 16:15
Kahaner Report: 2nd Int Conf on Fuzzy Logic & Neural Nets
Author: Rick Schlichting
Date: Tue, 22 Dec 1992 16:15
Date: Tue, 22 Dec 1992 16:15
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58000 bytes
[Dr. David Kahaner is a numerical analyst on sabbatical to the
Office of Naval Research-Asia (ONR Asia) in Tokyo from NIST. The
following is the professional opinion of David Kahaner and in no
way has the blessing of the US Government or any agency of it. All
information is dated and of limited life time. This disclaimer should
be noted on ANY attribution.]
[Copies of previous reports written by Kahaner can be obtained using
anonymous FTP from host cs.arizona.edu, directory japan/kahaner.reports.]
To: Distribution
From:
David K. Kahaner
US Office of Naval Research Asia
(From outside US): 23-17, 7-chome, Roppongi, Minato-ku, Tokyo 106 Japan
(From within US): Unit 45002, APO AP 96337-0007
Tel: +81 3 3401-8924, Fax: +81 3 3403-9670
Email: kahaner@cs.titech.ac.jp
Re: 2nd Int Conf on Fuzzy Logic & Neural Nets (Iizuka'92) 8/92, Japan
22 Dec 1992
This file is named "iizuka.92"
ABSTRACT. Titles from the 2nd International Conference on Fuzzy Logic
and Neural Networks (IIZUKA'92), held July 17-22 1992, in Iizuka Japan
are given.
This large symposium was part of an extensive week of information
technology symposia held at the Kyushu Institute of Technology, in the
city of Iizuka, Japan. For further information about the other symposia
see my reports, ("iskit.92", 21 Sept 1992) and (fuzzy.92, 22 Dec 1992).
Further information can be obtained from
Secretariat, ISKIT'92
Faculty of Computer Science and Systems Engineering
Kyushu Institute of Technology
680-4 Kawazu, Iizuka, Fukuoka 820, Japan
Tel: +81 948-29-7502; Fax: +81 948-29-7517
Email: ISKIT@KURI.CES.KYUTECH.AC.JP
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON FUZZY LOGIC AND NEURAL
NETWORKS [IIZUKA' 92]
July 17-22, 1992
CONTENTS
(OPENING LECTURES)
1. Interpolative Reasoning as a Common Basis for Inference in Fuzzy Logic,
Neural Network : Theory and the Calculus of Fuzzy If-Then Rules
Prof. Lotfi A. Zadeh
University of California, Berkeley (U.S.A.)
2. The Physiology of Perception : Functional Architectures of Biological
Sensorimotor control Systems
Prof. Walter J, Freeman
University of California, Berkeley (U.S.A.)
3. Towards Developing a Human-like Computer
Prof. Gen Matsumoto
Electrotechnical Laboratory (Japan)
PLENARY LECTURES
I. Genetic Algorithms, Neural Networks and Fuzzy Logic Systems
Prof. Elie Sanchez
Institut Mediterraneen de Technologie (France)
2. Chaos in Fuzzy Systems and Signals
Prof. Horia-Nicolai Teodorescu
Polytechnic Institute of Iasi (Romania)
3. Chaos and Fuzzy Representations of Dynamical Systems
Prof. Phil Diamond
University of Queensland (Australia)
4. Adaptive Fuzzy Systems
Prof. Bart Kosko
University of Southern California (U.S.A.)
5. Functional Chaotic Devices
Dr. Peter Davis
ATR Optical and Radio Communications Research Laboratories (Japan)
6. Adaptive Models for the Defuzzification Process
Prof. Ronald R. Yager
Iona College (U.S.A.)
INVITED/ORDINARY SESSIONS
FUZZY NEURAL NETWORKS PART I (INVITED)
Organizer : James J. Buckley
The University of Alabama, Birmingham (U.S.A.)
1. Direct Fuzzification of Neural Network and Fuzzified Delta Rule
Yoichi Hayashi*, James J. Buckley** and Ernest Czogala***
* Ibaraki University (Japan)
** The University of Alabama, Birmingham (U.S.A.)
***Technical University of Silesia (U.S.A.)
2. Two-Degree-of-Freedom Fuzzy Model using Associative Memories
Toru Yamaguchi, Kenji Goto and Tomohiro Takagi
Laboratory for International Fuzzy Engineering Research (Japan)
3. Learning in Fuzzy Neural Networks Utilizing Additive Hybrid Operators
James M. Keller and Zhihong Chen
University of Missouri-Columbia (U.S.A.)
4. Approximations Between Nets, Controllers, Expert Systems and
Processes
James J. Buckley
The University of Alabama, Birmingham (U.S.A.)
A-2 FUZZY NEURAL METWORKS PART 11
1. Automatic Control of Sewerage Pumpstation by Using Fuzzy Controls
and Neural Networks
Hong Chen, Masaharu Mizumoto and Yun-fei Ling
Osaka Electro-Communication University (Japan)
2. Learning of Expert's Knowledge by Neural Network and Deduction of
Fuzzy Rules by Powell's Method
Hiroshi Isshiki and Hideichi Endo
Hitachi Zosen Corp. (Japan)
3. Knowledge Implementation Multilayer Neural Networks with Fuzzy
Logic
Hiroyuki Okada*, Nobuo Watanabe*, Akira Kawamura* and Kazuo Asakawa*,
Tetsuo Taira**, Katsuyo Ishida**, Tohm Kaji*** and Masataka Narita***
* Fujitsu Laboratories Ltd.(Japan)
** The Nikko Research Center, Ltd.
***The Nikko System Center, Ltd.
4. An Emotion Processing System Based on Fuzzy Inference and Its
Subjective Observations
Torao Yanaru, Toyohiko Hirota and Naoki Kimura
Kyushu Institute of Technology (Japan)
A-3 FUZZY NEURAL NETWORKS PARIT III
1. Very Fuzzy Cognitive Maps
Julio Rives and Rafael Pereira
INISEL (Spain)
2. Construction Theory for a Subjective Observation Model Based on Affine
Mapping and Its Application to Neural Networks
Torao Yanaru, Toyohiko Hirota and Masahiro Siraha
Kyushu Institute of Technology (Japan)
3. Fuzzy Simulation of a Chemical Reactor by an Artificial Neural
Network
A. Bulsari and A. Krastawski
Lappeenranta University of Technology (Finland)
4. Fuzzy Logic and Neural Networks for Quantitative Chemical Analysis
(Invited)
Matthias Otto
Bergakademie Freiberg (Germany)
A-4 FUZZY NEURAL NETWORKS PART IV
1. Learning Mechanism and an Application of FFS-Network Reasoning Systems
M. Tokunaga, K. Kohno, Y. Hashizume, K. Hamatani, M. Watanabe,
K. Nakamura and Y. Ageishi
AdIn Research, Inc. (Japan)
2. Fuzzy Network Production System - Fuzzy Filtered Synapse Network and
Intensive Learning by Accumulated Fuzzy Indication
Ken Nakamura, Toshihide Fujimaki, Ryuji Horikawa and Youichi Ageishi
AdIn Research, Inc. (Japan)
3. Architecture and Training of a Hybrid Neural-Fuzzy System
Lee A. Feldkamp, G. V. Puskorius, F. Yuan and L. I. Davis, Jr.
Ford Motor Company (U.S.A.)
4. Approximation between Fuzzy Expert Systems and Neural Networks
Yoichi Hayashi*, James J. Buckley** and Emest Czogala***
* Ibaraki University (Japan)
** The University of Alabama, Birmingham (U.S.A.)
***Technical University of Silesia (U.S.A.)
A-5 CHAOTIC FUZZY SYSTEMS
1. Hierarchical and Recurrent Networks of Fuzzy Models
Hidetomo Ichihashi
University of Osaka Prefecture (Japan)
2. Transitions of Fuzzy Number through Nonlinear Dynamical Systems
(Invited)
Takeshi Yamakawa, Eiji Uchino, Tsutomu Miki and Tomokazu Nakamura
Kyushu Institute of Technology (Japan)
3. New Mechanism to Transfer Schemata Caused by Transfer Crises
Kazuo Sakai*, Tsuyoshi Katayama**, Kotaro Oiwa*** and Satoshi Wada*
* Meiji University (Japan)
**Japan Automobile Research Institute, Inc. (Japan)
***Oita University (Japan)
4. Chaotic Fuzzy Models in Economy
J. Gil Aluja*, Horia-Nicolai Teodorescu**, A. M. Gil Lafuente*
and Al. P. Tacu*
* University of Barcelona (Spain)
** Polytechnic Institute of Iasi (Romania)
***Center for Economic Studies (Romania)
A-6 FZZY NEURAL COMPUTING SYSTEMS PART I (INVITED)
Organizer : Madan M. Gupta
University of Saskatchewan (Canada)
1. Fuzzy Logic and Neural Networks
Madan M. Gupta
University of Saskatchewan (Canada)
2. Computation and Learning Paradigms for Biologically Inspired
Intelligent Computing
Panos A. Ligomenides
University of Maryland (U.S.A.)
3. Chaotic Neural Networks and Their Possible Application to Biological
System Modeling
M. Bodruzzaman and Mohan J. Malkani
Tennessee State University (U.S.A.)
4. On Fuzzy Structures: Sets, Relations and Graphs
Kiran R. Bhutarni
The Catholic University of America (U.S.A.)
A-7 FUZZY NEURAL COMPUTING SYSTEMS PART II (INVITED)
Organizer : Madan M. Gupta
University of Saskatchewan (Canada)
1. Synaptic and Somatic Adaptations in Dynamic Neural Networks
Madan M. Gupta and D. H. Rao
University of Saskatchewan (Canada)
2. Neurocomputing and Infinite-valued Logic
Djuro Koruga and Stuart Hameroff
University of Arizona (U.S.A.)
3. Neural Network Learning by Tolerance Optimization
Vaclav Sebesta and Mirko Novak
Institute of Computer and Information Science (U.S.A.)
4. A Learning Method of Fuzzy Inference Rules with Neural Networks
and its Application
Masao Mukaidono and Masato Yamaoka
Meiji University (Japan)
A-8 NEURAL NETWORKS AND FUZZY DYNAMICS (INYITED)
Organizer : Yee Leung
The Chinese University of Hong Kong (Hong Kong)
1. Inference Network for Optimization Applications
K. P. Lam* and C. J. Su**
* The Chinese University of Hong Kong (Hong Kong)
**The University of British Columbia (Canada)
2. Logical Processing with Perceptrons
Yee Leung* and Zhiqiao Wu**
* The Chinese University of Hong Kong (Hong Kong)
**Shenzhen University (China)
3. Modeling of Fuzzy Dynamics : A Differential-Geometric Approach
C. P. Kwong
The Chinese University of Hong Kong (Hong Kong)
4. Rule Learning in Expert Systems using Genetic Algorithm
1. Concepts
2. Empirical Studies
Kwong Sak Leung*, Yee Leung*, Leo So** and Kin Fai Yam*
The Chinese University of Hong Kong (Hong Kong)
University of Arizona (U.S.A.)
A-9 NEURAL NETS AND FUZZY SYSTEMS PART I (INVITED)
Organizer : Armando F. Rocha
Universidade Estadual de Campinas (Brazil)
1. A Neuro-Fuzzy Inference System Designed for Implementation on a Neural
Chip
P. Y. Glorennec
Institute National des Sciences Appliquees (France)
2. Neurofuzzy Controllers
Femando Gomide and An-nando F. Rocha
Universidade Estadual de Campinas (Brazil)
3. Distributed Modelling
W. Pedrycz* and Armando F. Rocha**
* University of Manitoba (Canada)
**State University of Campinas (Brazil)
4. A Proposal for Approximate Case-based Reasoning on Neural Networks
Zuliang Shen, Ho Chung Lui and Liya Ding
National University of Singapore (Singapore)
A-10 NEURAL NETS AND FUZZY SYSTEMS PART II (INVITED)
Organizer : Armando F. Rocha
Universidade Estadual de Campinas (Brazil)
1. A Connectionist Architecture for Production Rules with Variables
Katsuaki Sanou, Steve G. Romaniuk and Lawrence 0. Hall
University of South Florida (U.S.A.)
2. Neurofuzzy Interpolation : I. The Theoretical Background
F. J. V. Zuben*, M. Regattieri* and Armando F. Rocha**
* Universidade Estadual de Campinas (Brazil)
**Research on Natural and Artificial Intelligence (Brazil)
3. Using Boundary Shape Data for Efficient Adaptive Rule
Modifications
Hideyuki Takagi
University of California, Berkeley (U.S.A.)
4. A Proposal of Parallel Resolution Inference on Neural Logic Network
Liya Ding
National University of Singapore (Singapore)
B-I LEARNING ALGORITHM FOR FUZZY SYSTEMS (INVITED)
Organizer : Miguel Delgado and Antonio Gonzalez
Universidad de Granada (Spain)
1. The Frequency on Fuzzy Domains and its Application to the System
Identification
Miguel Delgado and Antonio Gonzalez
Universidad de Granada (Spain)
2. Empirical Learning for Fuzzy Knowledge Acquisition
Elisabetta Binaghi
I F C T R -C.N.R. (Italy)
3. Learning Rules for A Fuzzy Inference Model
Luis M. de Campos and Serafin Moral
Universidad de Granada (Spain)
4. A Knowledge Base Structure for Fuzzy Controllers
Ricardo Garcia Rosa, Ma Teresa de Pedro and Marco Tulio de Andrade
Instituto de Automadtica Industrial, CSIC (Spain)
B-2 KNOWLEDGE ACQUISITION AND TOOLS FOR EXPERT SYSTEMS TECHNOLOGY (INVITED)
Organizer : H.-J. Zimmermann
RWTH Aachen (Germany)
1. Fuzzy Similar Informations in Fuzzy Information Techniques
Hubert Frank
University of Dortmund (Germany)
2. Fuzzy-ID3 : A Class of Methods for Automatic Knowledge Acquisition
Richard Weber
Elite-European Laboratory for Intelligent Techniques Engineering
(Germany)
3. Online Development Tools for Fuzzy Knowledge-Based Systems of Higher
Order
C. von. Altrock and B. Krause
INFORM Software Corp., Aachen (Germany)
4. Reasoning with Uncertainty in the Knowledge Engineering Environment KEE
Rudolf Felix**, Claudio Moraga* and Bemd Reusch*
* University of Dortmund (Germany)
**Fuzzy Demonstration Centre Dortmund (Germany)
B-3 APPROXIMATE REASONING PART I (INVITED)
Organaizer : I. B. Turksen
Tokyo Institute of Technology (Japan)
1. Classification and Representation of Ambiguity in Language Usage
Toshihiko Yokogawa
Laboratory for International Fuzzy Engineering Research (Japan)
2. Search Strategies using Fuzzy Sets
Makishi Nakayama* and Anca Ralescu**
* Kobe Steel Ltd (Japan)
**LIFE (Japan)
3. Sensitivity Analysis in Fuzzy Systems
I. B. Turksen* and Q. Wang**
* Tokyo Institute of Technology (Japan)
**University of Toronto (Canada)
4. A Syllogistic Reasoning as a Multi-Objective Default Expectation Process
Hiroshi Narazaki and I. B. Turksen
Tokyo Institute of Technology (Japan)
B-4 APPROXIMATE REASONING PART II
1. Analytical Inference Results for Triangular Fuzzy Data (Invited)
B. De Baets and E. E. Kerre
University of Gent (Belgium)
2. An Attempt to Methods for Approximate Reasoninig based on Fuzzy
Entropy's Theory (Invited)
Akio Shimizu, Ube Industries, Ltd. (Japan)
3. Revision Principle for Approximate Reasoning : Based on Linear Revising
Method
Liya Ding*, Zuliang Shen* and Masao Mukaidono**
* Institute of Systems Science, National University of Singapore
(Singapore) **Meiji University Japan)
4. A Method of Approximate Reasoninig with Certainty Factor
Yutaka Hata, Kiyotaka Miyai, Fujino Miyawaki and Kazuharu Yamato
Himeji Institute of Technology (Japan)
B-5 APPROXIMATE REASONING PART III
1. Fuzzy Matching and Fuzzy Comparison in Fuzzy Expert System
Keon-Myung Lee, Kyoung-A Seong and Hyung Lee-Kwang, Korea Advanced
Institute of Science and Technology (Korea)
2. Fuzzy Logic Controllers with Flexible Structure
Ronald R. Yager and Dimitar P. Filev
Machine Intelligence Inst., Iona College (U.S.A)
3. Pruning Fuzzy Decision Trees
Joseph M. Barone
Loki Software, Inc. (U.S.A)
4. Decision Making under Fuzziness with Multiple Objectives and Its
Application to Design Problem Solving
Masaaki Ida, Osamu Katai, Tetsuo Sawaragi and Sosuke Iwai
Kyoto University (Japan)
B-6 APPROXIMATE REASONING PART IV
1. Analogical Fuzzy Reasoning and Gradual Inference Rules
Ldszlo T. Koczy* and Kaoru Hirota**
* Technical University of Budapest (Hungary)
**Hosei University (Japan)
2. Neural Network-based Fuzzy Production Rule Generation and its
Application to an Approximate Reasoning Approach
Hyun-Jung Yi and Kyung-Whan Oh
SoGang University (Korea)
3. Interpolation of Fuzzy If-Then Rules by Neural Networks
Hisao Ishibuchi, Hidehiko Okada and Hideo Tanaka
University of Osaka Prefecture (Japan)
4. Interpolation of Noisy Signal Data by using Fuzzy Inference (Invited)
Eiji Uchino, Takeshi Yamakawa, Tsutomu Miki and Shin Nakamura
Kyushu Institute of Technology (Japan)
B-7 FUZZY MODELING
1. Auto-Tuning Method of Fuzzy Membership Functions Using Neural Network
Learning Algorithm : Application to Water Flow Forecasting for Reservoir
Ryoichi Ichikawa*, Kazuo Nishimura*, Masahiko Kunugi*, Kazue Shimada*,
Yasuharu Shimalcura**, Yohei Fujisawa** and Yasuhisa Matsunoki**
* TOSHIBA Corporation (Japan) **HOKURIKU ELECTRIC POWER Co., INC
(Japan)
2. Fuzzy Logic Based Modeling and Optimization
Yu Qian, Patrick Tessier and Guy A. Dumont, The University of British
Columbia (Canada)
3. A Study on the Fuzzy Selective Relational Algebra (FSRA)
Doheon Lee, Hyung Lee-Kwang and Myoung Ho Kim
Korea Advanced Institute of Science and Technology (Korea)
4. A Self Generating and Tuning Method for Fuzzy Modeling using Interior
Penalty Method
Ryu Katayama, Yuji Kajitani and Yukiteru Nishida, Sanyo Electric Co.,
Ltd. (Japan)
B-8 FZZY ENGINEERING APPLICATIONS (INVITED)
Organizer : I. B. Turksen University of Toronto (Japan)
1. Architecture of A Fuzzy-Inference-System Shell
I. B. Turksen, Lizhu Guo and K. C. Smith
University of Toronto (Canada)
2. Incremental Learning of Complex Concepts
Marcellina M. T. Mileti* and Anca Ralescu**
* University of Cincinnati (U.S.A.) **Laboratory for International
Fuzzy Engineering Research (Japan)
3. Fuzzy Logic Expert System Scheduler
I. B. Turksen and T. Yurtsever
University of Toronto (Canada)
4. Inductive Learning of Conceptual Fuzzy Sets
Tomohiro Takagi, Atsushi Imura, Hirohide Ushida and Toni Yamaguchi
LIFE (Japan)
B-9 DIAGNOSTIC SYSTEMS BY FUZZY LOGIC
1. Supporting Method for Optimum Maintenance Policy Selection by the
FUZZY Logic
Toshio Toyota and Peng Chen
Kyushu Institute of Technology (Japan)
2. Fault Diagnosis Method by Using Fuzzy Rule Based Models
Gancho Vachkov* and Hisayoshi Matsuyama**
* Sofia Technological University (Bulgaria) **Kyushu University
(Japan)
3. Detection of Earthquake Precursors by Fuzzy Theoretical Methods
Hidemi M. Ito and Akihiko Wakayama
Meteorological Research Institute (Japan)
4. Reliability Prediction of Electronic Equipment with Fuzzy Inference
Tadashi Murata
Ryukyu University (Japan)
B-10 SAFETY RELIABILITY AND NOISE IMMUNITY OF FUZZY/NURAL SYSTEMS
1. Fuzzy Risk Index-Theory and Application
C. Preyssl* and Y. Nishiwaki**
* European Space Agency (The Netherlands) **University Vienna (Austria)
2. Fuzzy Fault Tree Analysis : A Case Study
A.W. Deshpande*, U. A. Desh ands** and P. Khanna*
* National Environmental Engineering Research Institute (India)
**Indian Institute of Technology (India)
3. On Subjectivity of Fuzzy Sets Operations in Fuzzy Reliability Analysis
Takehisa Onisawa
University of Tsukuba (Japan)
4. Design and Robustness of Winner-Take-All Cellular Neural Networks
Gerhard Seiler and Josef A. Nossek
Technische Universitat Munchen (Germany)
C-1 FUZZY LOGIC CONLTROL PART I
1. Uncertainty as Objective Function in Fuzzy Control (Invited)
Arthur Ramer
University of New South Wales (Australia)
2. On Fuzzy Inference Based on Intuitionistic Logic (Invited)
Toyohiko Hirota and Torao Yanaru
Kyushu Institute of Technology (Japan)
3. Comparison of Several Fuzzy Reasoning Methods on Driving Control of a
Model Car (Invited)
K. Nishimori, H.Tokutaka, S.Hirakawa, S.Kishida and N.Ishihara
Tottori University (Japan)
4. Fuzzy Control Rules and Stability Conditions
S.Takahara*, K.Ikeda** and S.Miyamoto**
* Kagawa Prefectural Industrial Technology Center (Japan)
**University of Tokushima (Japan)
C-2 FUZZY LOGIC CONTROL PART II
1. Fuzzy Optimal Control Revisited: Toward a New Generation of Fuzzy
Control? (Invited)
Janusz Kacprzyk, Polish Academy of Sciences (Poland)
2. Application of Fuzzy Control to a Batch Culture (Invited)
Tsunenobu Fukuda
Kaneka Corporation (Japan)
3. Forecast Learning Fuzzy Control of an Autonomous Mobile Robot
Mikio Maeda, Manabu Shimakawa and Shuta Murakami
Kyushu Institute of Technology (Japan)
4. Minimization of Rule-Chips in Fuzzy Control and Fuzzy Inference
Systems
H.N.Teodorescu
Polytechnic Institute of Iasi (Romania)
C-3 FUZZY LOGIC CONTROL PART Ill
1. A Movement Control Method and a Learning Method for Multi-Coupled
Car-like Robots
Kazuhiro Yasui and Hidenori Itoh
Nagoya Institute of Technology (Japan)
2. An Adaptive Fuzzy Current Controller with Neural Network for Field-
Oriented Controlled Induction Machine
Kyu-Chan Lee, Seong-Sik Min, Jhong-Whan Song and Kyu-Bock Cho
Hyosung Industries Co., Ltd (Korea)
3. Cooperative Mobile Robots using Fuzzy Algorithm
Hyuntae Kim, Heungsik Noh, Seungwoo Kim and Mignon Park
Yonsei University (Korea)
4. Fuzzy Pll-based Active Vibration Modes Compensation
H.N.Teodorescu*, I.Bogdan* and F.Grigoras**
* Center for Fuzzy Systems & AI (Romania) **Institute for Information
Science (Romania)
C-4 FUZZY LOGIC CONTROL PART IV
1. Stability Analysis of a Fuzzy Control System of a Superconducting
Actuator
Tadashi Kitamura and Mochimitsu Komori
Kyushu Institute of Technology (Japan)
2. An Automatic Start-up and Shut-down Control of a Drum-type Boiler using
Fuzzy Logic
Zeungnam Bien*, Dong-Hwan Hwang*, Jae Hyuk Lee*, Hyung-Keun Ryu**, Hanoh
Lee***, Sung-Kwang Hur**** and Ik-Soo Park****
* Korea Advanced Institute of Science and Technology (Korea)
**Korea Telecom (Korea)
***Goldstar Industorial Systems (Korea)
****Korea Electric Power Corporation (Korea)
3. A Fuzzy Automatic-combustion-control-system of Refuse Incineration
Plant
Makoto Fujiyoshi and Toshiyuki Shiraki
Hitachi Zosen Corp. (Japan)
4. A Fuzzy Dynamic Learning Controller for Chemical Process Control
Jeong Jun Song and Sunwon Park
Korea Advanced Institute of Science and Technology (Korea)
C-5 SYSTEM IDENTIFICATIONS BY NEURAL NETWORKS
Organizer : Takeshi Yamakawa Kyushu Institute of Technology (Japan)
1. A Neo Fuzzy Neuron and Its Applications to System Identification and
Prediction of the System Behavior
Takeshi Yamakawa, Eiji Uchino, Tsutomu Miki and Hiroaki Kusanagi
Kyushu Instituye of Technology (Japan)
2. Neuro-Fuzzy Identification Model of Nonlinear Dynamic Systems
Minho Lee, Soo-Young Lee and Cheol Hoon Park
Korea Advanced Institute of Science and Technology (Korea)
3. Space-Time Structure Dynamics of Neural Networks
Licheng Jiao and Zheng Bao
Xidian University (P.R.China)
4. On the Dynamics and Potentialities of a Discrete-time Binary Neural
Network with Time Delay
Simone Gardella, Toru Kumagai, Ryoichi Hashimoto and Mitsuo Wada
Industrial Products Research Institute, MITI (Japan)
C-6 NEURAL CHIPS
1. Custom Analog VLSI Neural Chips with On-chip Digital Learning for
Pattern/Character Recognition (Invited)
Yiwen Wang* and Fathi M. A. Salam**
* University of Minnesota (U.S.A.) **Michigan State University (U.S.A.)
2. A Simple Nonlinear Synapse Circuit for Artificial Neural Networks
(Invited)
Myung-Ryul Choi, Korea Electronics Technology Institute (Korea)
3. MOS Charge-mode Circuits for Analog VLSI Neural Systems
Okihiko Ishizuka, Zheng Tang, Jing Liang and Hiroki Matsumoto
Miyazaki University (Japan)
4. An Input Driven Multi-layer Perceptron Neural Network and CMOS VLSI
Implementation
Ho Sun Chung, Kyung Hoon Lee, Soo Yong Lee and Kwon Il Bae
Kyungpook Nation University, Taegu (Korea)
C-7 HARDWARE IMPLEMENTATIONS OF NEURAL NETWORK MODELS
1. Modular Analog Hardware Neural Networks with On Chip Hebbian Learning and
Analog Weight Storage (Invited)
B. Linares-Barranco*, E. Sanchez-Sinencio**, A. Rodriguez-Vazquez* and
J. L. Huertas*
* Centro Nacional de Microelectronica(Spain) **Texas A&M University
(U.S.A.)
2. Fuzzy Processors using Neural Phenomena in CMOS Digital LSI (Invited)
Katsufusa Shono, Cong-Kha Pham and Shinichi Ooki
Sophia University (Japan)
3. On Realization of Large Neural Networks
Wieslaw Sienko and Andrzej Luksza, Maritime Merchant Academy (Poland)
4. Analog Integrated Cochlear Model for Speech Analysis (Invited)
Weimin Liu and Moise H. Goldstein, Jr. and Andreas G. Andreou
The Johns Hopkins University (U.S.A)
C-8 FUZZY HARDWARES AND FUZZY LOGIC COMPUTERS
1. Serial Architecture for Fuzzy Controllers: Hardware Implementation using
Analog/Digital VLSI Techniques
Jose L. Huertas Diaz, Santiago Sanchez-Solano, Angel Barriga-Barros and
Iluminada Baturone Castillo
Centro Nacional de Microelectronica (Spain)
2. Digital Fuzzy Processor FP-5000
Kazuhisa Shimizu, Masaharu Osumi and Fumikazu Imae
OMRON Corporation (Japan)
3. WARP: Weight Associative Rule Processor An Innovative Fuzzy Logic
Controller
Andrea Pagni, Rinaldo Poluzzi and Gianguido Rizzotto
SGS-Thomson Microelectronics (Italy)
4. Architectures for Rule-Chips Number Minimizing in Fuzzy Inference
Systems
H.N. Teodorescu* and T. Yamakawa**
* Polytechnic Institutte of Iasi (Romania) **Kyushu Institute of
Technology (Japan)
C-9 NOVEL DEVICES FOR NEURAL & CHAOTIC SYSTEMS
1. Implementation of Neural Network Adder (Invited)
Mititada Morisue, Kenichiro Sakai and Hideki Fujinaga
Saitama University (Japan)
2. Generation of Chaotic Signals using Current Mode Techniques
A. Rodriguez-Vazquez, M. Delgado-Restituto, S. Espejo and J. L. Huertas
Centro Nacional de Microelectronica (Spain)
3. Boltzmann Machine Scheme Learning in an Analog Chaos Neuro-Computer
Masayoshi Inoue and Akihiro Nagayoshi
Kagoshima Univversity (Japan)
4. A Chaotic Chip for Analyzing Nonlinear Discrete Dynamical Network
Systems (Invited)
Takeshi Yamakawa, Tsutomu Miki and Eiji Uchino
Kyushu Institute of Technology (Japan)
D-1 FUZZY LOGIC
1. Basic Tools for Fuzzy Control: Triangular Norms and Conorms (Invited)
Erich Peter Klement and Peter Bauer
Johannes Kepler Universitat (Austria)
2. Mathematical Foundations of Fuzzy Logic (Invited)
Esko Turunen
Lappeenranta University of Technology (Finland)
3. Linguistically Oriented Fuzzy Logic Controller (Invited)
Vilem Novak, Czechoslovak Academy of Sciences (Czechoslovakia)
4. Complements, t-norms, and s-norms in Toll Sets
Sadaaki Miyamoto, University of Tokushima (Japan)
D-2 FUZZIFICATION AND UNCERTAINRY MEASURE
1. Average Total Uncertainty : A New Measure and its Properties (Invited)
Nikhil R. Pal, James C. Bezdek and Rohan Hemasinha
University of West Florida (U.S.A.)
2. Information Based Reasoning in Fuzzy and Dempster-Shafer Theories
(Invited)
Arthur Ramer, University of New South Wales (Australia)
3. Multi-Valued Logic of Uncertainty Derived from Epistemic Modality
Tetsuya Murai*, Masaki Miyakoshi** and Masaru Shimbo**
* Sapporo Medical College (Japan) **Hokkaido University (Japan)
4. Fuzzifications of Complete Lattices and Applications
Arturo A. L. Sangalli, Champlain Regional College (Canada)
D-3 FUZZY MEASURES AND APPLICATIONS (INVITED)
Organizer : Michel Grabisch, Thomson-Sintra ASM (France)
1. Application of Fuzzy Measure, Fuzzy Integral and Neural Network to the
System Which Estimate Taste by Using Industrial Analysis
Masanori Matsuda* and Takaharu Kameoka**
* Satake Corporation (Japan) **Mie University (Japan)
2. Tensor Representation of Utility Functions with Mutual Utility
Independence
Yutaka Matsushita and Hiroshi Katukura, Shimizu Corporation (Japan)
3. Modeling of Indexing in Document Retrieval Based on Doxastic Modal
Operators Defined by Fuzzy Measures
Tetsuya Murai*, Masaaki Miyakoshi** and Masaru Shimbo**
* Sapporo Medical College (Japan) **Hokkaido University (Japan)
4. Non-additivity of Fuzzy Measures Representing Preferential Dependence
Yoshiaki Murofushi* and Michio Sugeno**
* University of Electro-Communications (Japan) **Tokyo Institute of
Technology (Japan)
D-4 GRADUAL RULES AS A TOOL FOR QUALITATIVE MODELING (INVITED)
Organizers : Henri Prade* and Michel Grabisch**
* Universite Paul Sabatier (France) **Thomson-Sintra ASM (France)
1. A Method of Gradual Shifts in Interval-Valued Reasoning
I. B. Turksen* and Y. Tian**
* Tokyo Institute of Technology (Japan) and University of Toronto
(Canada) **University of Toronto (Canada)
2. Gradual Rules in a Decision Support System for Foreign Exchange Trading
Yasunori Katoh, Hideo Yuize, Minoru Yoneda, Kazuyoshi Takahashi,
Shun'ichi Tano,Tatsuo Yagyu, Michel Grabisch and Satoru Fukami
Laboratory for International Fuzzy Engineering Research (Japan)
3. Gradual Rules and the Approximation of Functions
Didier Dubois*, Michel Grabisch** and Henri Prade*
* Universite Paul Sabatier (France) **Thomson-Sintra ASM (France)
D-5 DIFFERENCE ASPECTS OF APPROXIMATE REASONING (INVITED)
Organizer : D. Dutta Majumder Indian Statistical Institute (India)
1. An Alternative Approach to Approximate Reasoning
Kumar S. Ray and D. Dutta Majumder
Indian Statistical Institute (India)
2. Approximate Reasoning using the Technique of Generalised Disjunctive
Syllogism
Swapan Raha* and Kumar S. Ray**
* Visva Bharati University (India) **Indian Statistical Institute
(India)
3. Rule Generation and Inferencing with a Layered Fuzzy Neural Network
Sushmita Mitra and Sankar K. Pal, Indian Statistical Institute (India)
4. Fuzzy Divergence - a New Measure for Image Segmentation
Dinabandhu Bhandari, Nikhil R. Pal and D. Dutta Majumder
Indian Statistical Institute (India)
D-6 COGNITION
1. Cognitive Information and Neural Computing Systems
Madan M. Gtipta, University of Saskatchewan (Canada)
2. A Neural Network Model Explaining Subjective Contour
Koichi Ikuta and Kunihiko Fukushima, Osaka University (Japan)
3. A Computer Model of Walking Cognition on the Cerebral Cortex
Yoshikazu Imai, Kumamoto Junior College (Japan)
D-7 FUZZY CLUSTERING PART I
1. A Comparison of some Methods of Fuzzy Classification on Real Data
Michael Grabisch and Francois Dispot
Thomson-Sintra ASM (France)
2. A Clustering Method for the Fuzzy Observations
Mika Sato and Yoshiharu Sato, Hokkaido University (Japan)
3. Experimental Study on Optimal Fuzzifying Mesh Feature of Character
Wang Xiaowen and Reiji Hashimoto, Okayama University of Science (Japan)
D-8 FUZZY CLUSTERING PART II
1. Efficient Fuzzy Partition of Pattern Space for Classification Problems
Hisao Ishibuchi, Ken Nozaki and Hideo Tanaka, University of Osaka
Prefecture (Japan)
2. Geometric-logical Pattern Classification
K. Hirota* and W. Pedrycz**
* Hosei University (Japan) **University of Manitoba (Canada)
3. Concept Structure Analysis Applying Fuzzy Graph (Invited)
Hajime Yamashita*, Kazuo Nishimura**, Yoshihiko Itoh***, Yasuo
Katsumata**** and Ei Tsuda*****
*Waseda University (Japan)
**Kawamura University (Japan)
***Johsai University (Japan)
****Meguro SR.High School (Japan)
*****Kokugakuin SR.High School (Japan)
D-9 NATURAL LANGUAGE
1. Interactive Human Face Retrieval System Based on Linguistic
Expression
Makishi Nakayama, Koji Miyajima, Hiroshi Iwamoto and Toshio Norita
Laboratory for International Fuzzy Engineering Research (Japan)
2. Parsing Fuzzy Queries
Dan Cristea* and Hoira-Nicolai Teodorescu**
* University of Iasi (Rumania) ** Polytechnic Institute of Iasi
(Rumania)
3. Spreading Activation Networks for Natural Language Processing
Todd Law and Hidenori Itoh, Nagoya Institute of Technology (Japan)
4. A Fuzzy Semantic Network and its Use for Dealing with Incomplete
Semantic Description
Shin Ishii, Ricoh Co.Ltd (Japan)
D-10 MAN-MACHINE COMMUNICATION
1. Error Correction of Key-Inputted Instructions Using Fuzzy Hamming
Distance
Hiroyuki Araki and Seiichirou Kaguei
Yokohama National University (Japan)
2. Using Fuzzy Production System in the Simulation and Gaming for an
Intelligent Tutoring System
Chea Bun Song, Nagoya University (Japan)
3. Fuzzy Rules as a Programming Medium for Children
John Maeda, Yoshihiko Sakai, Yoshihiko Sawada and Rie Komuro
International Media Research Foundation (Japan)
4. An Optical Fuzzy Classifying System for Facial Expressions
Kazuho Tamano, Hiroshima Institute of Technology (Japan)
E-I LEARNING ALGORITHM PART I
1. Supervised Learning Using Cauchy Energy Function
Maqbool Ahmad and Fathi M. A. Salam, Michigan State University (U.S.A.)
2. The Unified Neural Network Theory and Proposal of New Models
Sumio Watanabe and Kenji Fukumizu, RICOH Co., Ltd. (Japan)
3. Novel Fast Training Algorithm for Multi-layer Feedforward Neural
Network
Dong-Jo Park, Byung-Eul Jun and Jung-Hoon Kim, Korea Advanced Institute
of Science and Technology (Korea)
4. Complexity Term to Accelerate the Learning in Recurrent Neural
Networks
Ryotaro Kamimura, Tokai University (Japan)
B-2 LEAERNING ALGORITHM PART II
1. An Iterative Learning Control Method using Neural Networks for Robot
Manipulator
Zeungnam Bien, Hak-Sung Lee, Dong-Hwan Hwang and Jong-Woon Lee
Korea Advanced Institute of Science and Technology (Korea)
2. Binarization for Multi-layer Bidirectional Associative Memory
Dong-Gyu Jeong, Ho-Hyun Chun and Soo-Young Lee, Korea Advanced Institute
of Science and Technology (Korea)
3. Path-Planning for Multiple Mobile Robots by Genetic Algorithms
Selfish-Planning and Coordinative-Planning (Invited)
Takanori Shibata, Toshio Fukuda, Kazuhiro Kosuge and Fumihito Arai
Nagoya University (Japan)
4. Extracting Fuzzy Knowledge from Rank Ordered Sample Data via Instance
Generalization and Connectionistic Computation (Invited)
Osamu Katai, Masaaki Ida, Tetsuo Sawaragi and Sosuke Iwai
Kyoto University (Japan)
B-3 NEURAL HETWORK DESIGN AND EVALUATION PART I
1. A Product-of-norms Neural Network Model with Applications to Image
Association
Jiansheng Hou and Fathi M. A. Salam, Michigan State University (U.S.A)
2. Two Design Strategies of Neural Network for Complex Classification
Problems
Sung-Bae Cho and Jin H. Kim Korea Advanced Institute of Science and
Technology (Korea)
3. Artificial Neural Networks : A Tool for Extrapolative Forecasting
Anupam das Purkayastha, S. M. George and P. Ram Babu, Devi Ahilya
University (India)
4. Design and Analysis of PCM Encoder Using T-Model Neural Network
Okihiko Ishizuka, Zheng Tang, Masakazu Sakai and Hiroki Matsumoto
Miyazaki University (Japan)
E-4 NEURAL NETWORK DESIGN AND EVALUATION PART II
1. Temporal Pattern Recognition Model Using Velocity-Controlled Delay-Lines
Kouichirou Yamauchi and Kunihiko Fukushima, Osaka University (Japan)
2. Elimination of Redundant Connections by Parametric Lateral Inhibition in
Trainable Neural Networks (Invited)
Syozo Yasui, Kyushu Institute of Technology (Japan)
3. Activation of Connections to Organize Internal Representation in
Recurrent Neural Networks
Ryotaro Kamimura, Tokai University (Japan)
4. Ensemble Organization as a Basis of Reliable Functioning of Neural
Networks
G. Chorayan, The Rostov State University (Russia)
E-5 NEURAL NETS AND DECISION AND OPTIMIZATION PROBLEMS (INVITED)
Organizers : A. Gonzalez and J. L. Verdegay Universidad de Granada
(Spain)
1. R-FN : A Model of Fuzzy Neuron
Ignacio Requena and Miguel Delgado, Universidad de Granada (Spain)
2. Neural Networks to Solve Combinatorial Optimization Problems in Digital
Circuit Testing
Julio Ortega, Alberto Prieto, Antonio Lloris and Francisco J.Pelayo
Universidad de Granada (Spain)
3. A Neural Net to Construct Data Base Indices
M. Theoto* and A. F. Rocha**
* University of Sao Paulo (Brazil) **Research on Natural and Artificial
Intelligence (Brazil)
4. Multiple Attribute Decision Making based on Fuzzy Relationships between
Objectives
Rudolf Felix, Fuzzy Demonstration Centre Dortmund (Germany)
E-6 NEURAL NETWORK APPLICATIONS PART I (INVITED)
Organizer : Norio Baba, Osaka Kyoiku University (Japan)
1. A Structure Reduction of Neural Network with Random Masks and Bill Money
Recognition
Fumiaki Takeda*, Sigeru Omatu*, Takeshi Inoue**, Saizo Onami** and
Kenichi Konishi**
* University of Tokushima (Japan) **Glory Ltd. (Japan)
2. Applications of Neural Network Models to Iron and Steel Making Processes
Yoshihisa Otsuka, Kunihiro Hanaoka and Masami Konishi, Kobe Steel, Ltd.
(Japan)
3. A New Algorithm for Training Neural Networks and Its Applications
Norio Baba, Osaka Kyoiku Unversity (Japan)
4. Elastic Fuzzy Logic : A Better Fit with Neurocontrol
Paul J. Werbos, National Science Foundation (U.S.A)
E-7 NEURAL METWORK APPLICATIONS PART II (INVITED)
Organizer Norio Baba, Osaka Kyoiku University (Japan)
1. Elicitation of Expert Knowladge by Structural Learning of Neural Network
with Application to Accelerator Diagnosis
M. Kitamura*, H. Furukawa* and I. Abe**
*Tohoku University (Japan) **National Laboratory for High Energy Physics
(Japan)
2. Nonlinear Control Using Neural Networks with Mixed Structure
Hiroshi Kinjo*, Sigeru Omatu** and Tetsuhiko Yamamoto*
* University of the Ryukyus (Japan) **University of Tokushima (Japan)
3. Utilization of Stochastic Automation and Genetic Algorithm for Neural
Network Design
Norio Baba, Masayuki Marume and Ken Itoh, Osaka Kyoiku University (Japan)
4. A Method for Supporting Decision-Making on Plant Operation based on
Human Reliability Analysis with Fuzzy Integral
Takeshi Washio*, Hideaki Takahashi* and Masaharu Kitamura**
* Mitsubishi Research Institute, Inc. (Japan) **Tohoku University
(Japan)
E-8 NEURAL NETWORK APPLICATIONS PART III
1. Invariant Visual Information Processing Using Higher Order Neural
Networks
Chelol Hoon Park and Lae Jeong Park, Korea Advanced Institute of Science
and Technology (Korea)
2. Application of Neural Computing to Aesthetic Design of Dam Structures
Hitoshi Furuta*, Taro Tonegawa*, Hiroyuki Morimoto** and Eiichi Watanabe*
*Kyoto Unversity (Japan) **Construction Technology Institute (Japan)
3. A New Approach to Problem Solving by Modular Structured Networks
Masumi Ishikawa, Kyushu Institute of Technology (Japan)
4. A Neural Network Approach to Manufacturing Cell Formation
Chao-Hsien Chu and Ling-Feng Li, Iowa State University (U.S.A.)
E-9 NEURAL NETWORK APPLICATIONS PART IV
1. Isolated Korean Words Recognition Using Partially Connected Neural
Network and Contextual Net
Hwan Jin Choi and Yang Huan Oh, Korea Advanced Institute of Science and
Technology (Korea)
2. Modified Differentiation and Nonlinear Function in Motion Detection of
Neural Network
Naohiro Ishii, Nagoya Institute of Technology (Japan)
3. A Case Study on a Neural Network for Handwritten Character
Recognition
Kenji Togashi and Takao Ichiko
Yamagata University (Japan)
4. An Artificial Neural-Net Based Approach to Quadratic Power Load Flow
Calculation in Electric Power Systems
Hiroyuki Mori, Meiji University (Japan)
E-10 NEURAL NETWORK APPLICATIONS PART V
1. Neural Networks for Direction-of-Arrival Estimation
Zong-Kai Yang and Wen-Qing Cheng
Huazhong University of Science and Technology (China)
2. Electrophotography Process Control Method based on Neural Network and
Fuzzy Theory
Tetsuya Morita*, Mitsuhisa Kanaya*, Tatsuya Inagaki*, Hisao Maruyama**
and Shinji Kato**
*Ricoh Co., Ltd. R&D Center (Japan)
**Ricoh Co., Ltd. RP Development Center (Japan)
3. An Application to Photometric Stereo by Neural Networks
Yuji Iwahori*, Naohiro Ishii*, Robert J. Woodham**, Masahiro Ozaki*** and
Yoshinori Adachi****
*Nagoya Institute of Technology (Japan) **University of British
Columbia (Canada) ***Okazaki Women's Jr. College (Japan) ****Chubu
University (Japan)
4. Pattern Segmentation Using the TIM Neural Network Architecture
W. Banzhaf and K. Kyuma, Mitsubishi Electric Corp., Japan
F-l CHAOTIC COMPLEXITY PART I, II (INVITED)
Organizer Ichiro Tsuda and Hatsuo Hayashi, Kyushu Institute of Technology
(Japan)
1. Complex Dynamics in a Realistic Neural Network Model
Hans Liljenstrom, Royal Institute of Technology (Sweden)
2. Self-Organization and Information Processing in Photorefractive Systems:
Optical Machines that Learn on Their Own
Dana Z. Anderson, University of Colorado (USA)
3. Constraining Chaos in an Optical Ring Memory Device
Peter Davis and Tahito Aida, ATR Optical and Radio Communications
Research Laboratories (Japan)
4. Singular-Continuous Weierstrass-Function Attractors
Otto E. Rossler*, Roland Wais** and Reimara Rossler*
* University of Tubingen(Germany) ** University of Hamburg(Germany)
5. Complexity and Chance in Non-Stationary Chaos - Law of Large Number and
Law of Small Number
Yoji Aizawa, Waseda University (Japan)
6. Oscillation and Chaos in a Model of the Olfactory Bulb
P. Erdi, T. Grobler and G. Barna, The Hungarian Academy of Sciences
(Hungary)
7. Statistical Approach for Computing the Largest Lyapunov Exponent
Gybrgy Bama, Kyushu Institute of Technology (Japan) and The Hungarian
Academy of Sciences (Hungary)
8. Chaotic Neural Nets, Computability, Undecidability and Fuzzy Sets
Gianfranco Basti*, Antonio Perrone** and Eros Pasero***
* Pontifical Gregorian University (Italy) ** University of Rome "Tor
Vergata" (Italy) ***Politecnico di Torino (Italy)
9. Controlled Chaos in the Basal Forebrain
Walter J. Freeman. University of California, Berkeley (U.S.A.)
F-2 Chaos Engineering PART I (INVITED)
Organizer : Kazuyuki Aihara Tokyo Denki University (Japan)
1. Toward "Chaos Engineering"
Kazuyuki Aihara, Tokyo Denki University (Japan)
2. "Generalized" Ulam-Li's Approximation to Invariant Density of One-
Dimensional Chaos and Its Extension to Approximation to Asymptotic
Measure on Henon's Chaotic Attractor
Tohru Kohda*, Kenji Murao**, Ryuji Shinji*
* Kyushu University (Japan) **Miyazaki University (Japan)
3. Taste Sensing System and Chaos
Kiyoshi Toko, Yoshinori Saida, Tetsuya Matsuno, Kenshi Hayashi, Kaoru
Yamafuji
Kyushu University (Japan)
4. Nonlinear Associative Dynamics in A Chaotic Neural Networks
Masaharu Adachi, Kazuyuld Aihara, Makoto Kotani
Tokyo Denki University (Japan)
F-3 CHAOS ENGINEERING PART II (INVITED)
Organizer : Kazuyuki Aihara Tokyo Denki University (Japan)
1. Fractal Image Coding Techniques based on IFS
Ryuji Tokunaga, Tsukuba University (Japan)
2. Diversity and Regularity in Chaotic Wandering of Robot
Jun Tani, Sony Corp. (Japan)
3. Autonomous Chaotic Oscillations of a Model of Chemically Excitable
Membranes
Nobuko Fuchikami*, Masayoshi Naito**
* Tokyo Metropolitan University (Japan) **Hitachi, Ltd. (Japan)
4. An Analysis of Electroencephalographic Potentials by Deterministic
Nonlinear Prediction
Tohru Ikeguchi*, Kazuyuki Aihara**
* Science University of Tokyo (Japan) **Tokyo Denki University (Japan)
F-4 CHAOS AND COMPUTING (INVITED)
Organizer : Paul J. Werbos, National Science Foundation (U.S.A)
1. Quantum Theory, Computing and Chaotic Solitons
Paul J. Werbos, National Science Foundation (U.S.A)
2. Theoretical and Practical Challenges in Chaos Computing
Steven C. Suddarth, Air Force Office of Scientific Research (U.S.A)
3. A Neural Network Computer Architecture for Computation with Oscillatory
and Chaotic Attractors
Bill Baird* and Frank Eeckman**
* University of California, Berkeley (U.S.A) **O Division, LLNL
(U.S.A.)
4. A Modular Hierarchical Approach to Learning
Pierre Baldi, California Institute of Techinology (U.S.A)
F-5 BIOMEDICAL APPLICATIONS OF FUZZY LOGICAL NEURAL NETS PART I
1. Neural Expert System Using Fuzzy Teaching Input and Its Application to
Medical Diagnosis (Invited)
Yoichi Hayashi, Ibaraki University (Japan)
2. A Practical Application of Fuzzy Theory to an Auto-Regulation System for
Extra-Corporeal Circulation
Toshikazu Tobi* and Jiro Anbe**
* Dai-dan Co., Ltd. (Japan) **Teikyo University (Japan)
3. Medical Diagnosis Using a Parallel Fuzzy Inference Performed by Neural
Networks
Takumi Ichimura*, Eiichiro Tazaki* and Katsumi Yoshida**
*Toin University of Yokohama (Japan) **Keio University (Japan)
4. A New Rate Regulation Algorithm for Activity Sensing Pacer Using a Neural
Network System
Norihito Kashiwagi*, Toshikazu Tobi*, Hiroshi Nakajima**, Jiro Anbe** and
Tadayoshi Akasaka**
* Dai-dan Co., Ltd. (Japan) **Teikyo University (Japan)
F-6 BIOMEDICAL APPLICATIONS OF FUZZY LOGICAL NEURAL NETS PART II
1. An Automatic Monitoring and Estimation Tool for the Cardiovascular
System under Ventricular Assistance Using Fuzzy Reasoning (Invited)
Makoto Yoshizawa*, Hiroshi Takeda**, Makoto Miura**, Tomoyuki Yambe** and
Shin-ichi Nitta**
*Toyohashi University of Technology (Japan) **Tohoku University (Japan)
2. Supporting System for Medical Diagnosis Using Natural Language by a Fuzzy
Inference
Seizaburo Arita*, Masaya Yoneda*, Yuusuke Nakamura**, Rou Yamashita***,
Tadashi Shibue**** and Yoshimi Hori*****
*Kawasaki Medical School (Japan) **Kyushu University (Japan)
***Kanazawa University (Japan) ****Kagoshima University (Japan)
*****Kawasaki University of Medical Welfare (Japan)
3. Application of Fuzzy Theory to Traditional Chinese Medicine by using the
Pulse Phenomena
Lee Hsing-Lin*, Yoshinori Adachi**, Shoji Suzuki*** and Masayoshi
Umeno***
* Kung Shan Institute of Technology (Taiwan) ** Chubu University
(Japan) ***Nagoya Institute of Technology (Japan)
4. Analogical Reasoning : A Connectionist Approach in the Cerebral Cortex
Mode
Sandrine Allemand, Francois Blanc, Michel Dufosse and Elie Sanchez
Institut Mediterraneen de Technologie (France)
POSTER SESSION
P-1. Stochastic Dynamic Properties of Generalized Layered Neural Networks
Yoshitake Yamazaki*, Yoshiko Takayama*, Moyuru Ochiai**, Heiner
Muller-Krumbhaar*** and Charles P. Enz****
*Kyusyu Institute of Technology (Japan) **Shohoku College (Japan)
***Institut far Festkorper Forschung (Gennany) ****Universite de Geneve
(Switzerland)
P-2. Application of Layered Neural Networks to CAD (Computer Aided Design) for
Magnetic Devices
Yoshitake Yamazaki*, Moyuru Ochiai**, Yoshiko Takayama*, Hisao Ueda* and
Ryuichi Kanbe*
* Kyushu Institute of Technology (Japan) **Shohoku College (Japan)
P-3. Application of Layered Neural Networks to Phase Analyzer of Laser
Yoshitake Yarmazaki*, Akira Mikami**, Moyuru Ochiai*** and Yoshiko
Takayama*,
* Kyushu Institute of Technology (Japan) ** Advantest Corporation
(Japan) ***Shohoku College (Japan)
P-4. Human Face Recognition by Means of Neural Network
Yoshinori Adachi*, Masahiro Ozaki**, Yuji Iwahori*** and Naohiro Ishii***
* Chubu University (Japan) ** Okazaki Women's Jr. College (Japan)
***Nagoya Institute of Technology (Japan)
P-5. Gas Discrimination Method by Neural Network
Ryosuke Konishi, Tohru Aoki and Hisanari Kimura, Tottori University
(Japan)
P-6. The Learning of the Neural Network using Hadamard Transform
Hiromu Katayama, Toshifumi Shimomura, Hisamochi Harada and Ryosuke
Konishi, Tottori University (Japan)
P-7. A New Type of Fuzzy Neural Network for Linguistic Fuzzy Modeling
Shin-ichi Horikawa, Takeshi Furuhashi and Yoshiki Uchikawa, Nagoya
University (Japan)
P-8. A Decision Making Model Using a Fuzzy Neural Network
Tomonori Hashiyama, Takeshi Furuhashi and Yoshiki Uchikawa, Nagoya
University (Japan)
P-9. A Study on Fuzzy Modeling of BOF Using a Fuzzy Neural Network
Takashi Hasegawa*, Shin-ichi Horikawa*, Takeshi Furuhashi*, Yoshiki
Uchikawa*, Shigeru Shimamura**, Toshihisa Yamada**, Okamoto Kunitake**
and Susumu Otsuka**
* Nagoya University(Japan) **Nippon Steel Corporation (Japan)
P-10 Recognition of P-wave, QRS-wave, and T-wave in Electrocardiogram with
Neural Networks
Nobuyuki Motoki and Yukinori Suzuki, Muroran Institute of Technology
(Japan)
P-11 Recognition of Hand-written Characters with Fuzzy Associative Memory
Akira Nozaki, Norio Konno and Yukinori Suzuki, Muroran Institute of
Technology (Japan)
P-12 Fuzzy Theory in Character Learning CAI System
Masahiro Ozaki*, Yoshinori Adachi**, Yuji Iwahori*** and Naohiro Ishii***
*Okazaki Women's Jr. College (Japan) **Chubu Uriiversity (Japan)
***Nagoya Institute of Technology (Japan)
P-13 A Diagnostic Expert System for Ultrasonic Testing Using the Fuzzy
Reasoning
Hiroshi Matsuura*, Toshio Yoshimura* and Akiyoshi Kawahito**
*University of Tokushima (Japan) **Miura Institute of Research &
Development (Japan)
P-14 A New Force Control method Using Fuzzy Control for a Welding Robot
Kazuo Yamaba*, Isao Ohtaka* and Takeshi Yamakawa**
*Mechanical Engineering Lab. AIST, MITI (Japan) **Kyusyu Institute of
Technology (Japan)
P-15 Fuzzy Ising Spin Model
Tsuyoshi Horiguchi, Tohoku University (Japan)
P-16 Sample Valuation by Fuzzy Theory in Cell Analysis
Akemi Hayakawa*, Shoji Suzuki** and Yoshinori Adachi***
*Nagoya University (Japan) **Nagoya Institute of Technology (Japan)
***Chubu University (Japan)
P-17 Analysis of Language Influence by Network and Fuzzy Theory
Shoji Suzuki*, Akemi Hayakawa**, Yoshinori Adachi*** and Hiroshi
Tsunekawa****
*Nagoya Institute of Technology (Japan) **Nagoya University (Japan)
***Chubu University (Japan) ****Medical Laser Laboratory (Japan)
DEMONSTRATION SESSION
Demo-1. Development of the Operator Support System Applying Fuzzy Algorithms
for Glass Tube Molding Equipment
Masahiko Hishida*, Terukuni Yokoyama*, Yoshihiro Atsumi*, Motonobu
Masui** and Yasuo Ban**
* Mitsubishi Atomic Power Industries, Inc. (Japan) **Iwasaki
Electric Co., Ltd. (Japan)
Demo-2. Application of Fuzzy Control to a Localized Cleanroom
Reiji Yamashita*, Shuichi Itoh* and Takeshi Yamakawa**
* DAI-DAN Co., Ltd. (Japan) **Kyushu Institue of Technology (Japan)
Demo-3. Fuzzy Discrete IC Family (ZDIS) for Basic Experiment or Learning of
Fuzzy Control
K. Iwashita and Masanari Oh, Apollo Electronics Co., Ltd. (Japan)
Demo-4. Evaluation System of Fuzzy Neuron Chip
M. Oh, M. Itoh and H. Shiramizu, Apollo Electronics Co., Ltd.
(Japan)
Demo-5. A Fuzzy Logic Expert System Shell in Windows Environment
K.S. Leung*, Y.Leung*, Danny Cheung** and H.W. Lee**
* The Chinese University of Hong Kong (Hong Kong) **The GMR High
Technology Company Limited (Hong Kong)
ANNEX SESSION
1. A Simple Fuzzy Evaluating System for Knowledge Tests Results
Dorin Isoc, Institutul Politehnic Cluj Napoca (Romania)
2. Learning Technologines in Expert Assistant Ficckas -Fuzzy Information
Cluster, Choice and Knowledge Acquisition System (Invited)
Lepmod Kitainik and Sergei Orlovski, Computing Center of the Russian
Academy of Sciences (C.I.S.)
3. Mainsprings of Cut Technique in Fuzzy Relational Systems
Leonid Kitainik, Computing Center of the Russian Academy of Sciences
(C.I.S.)
4. A DSP based Fuzzy Logic Controller
I. del Campo, J. R. Gonzalez de Mendivil, J. R. Garitagoitia and J. M.
Tarela
**University of the Basque Country (Spain)
5. The Representation of Fuzzy Knowledge in the Diagnostic Expert System
Shell EDIP
Vladimir Levchenko and Alexander Savinov, Moldavian Academy of Sciences
(C.I.S.)
6. Self-Organizing Fuzzy System Application to Adaptive Control
Lacramioara Pavel and Mircea Chelaru, Institute for Information Science
(Romania)
7. A Fuzzy Connectionist Approach for a Knowledge Based Image
Interpretation System
El-hadi Zahzah, Jacky Desachy and Mustapha Zehana, Universite Paul
SABATIER (France)
8. Distributing Errors in Neural Fuzzy Control
Patrik Eklund*, Frank Klawonn** and Detlef Nauck**
* ~bo Akademi University (Finland) **Technical University of
Braunschweig (Germany)
9. Improved Character Recognition System based on a Neural Network
Incorporating the Context via Fuzzy Automata
Roberto Reina, Jose R. Gonzalez de Mendivil and Jose R. Garitagoitia
University of The Basque Country (Spain)
10. A Neural Network Implementation for Fuzzy Systems - Direct Mapping of
Centered Representations for Fuzzy Quantities
Adrian Stoica* and Dan Prisacaru**
*Polytechnic Institute of Iasi (Romania) **Sinta SA, Iasi (Romania)
ll. Development of Fuzzy Neural Tool for Medical Signal Processing and
Imaging (Invited)
W.S.Gan, Acoustical Services Pte Ltd (Singapore)
12. DST: The Language for the Complex Behaviour of Neural Networks as
Adapting and Evolving Systems
Shi-Ji Gao and Fred J. Charlwood, City University, Northampton Square
(UK)
13. Development of a Neural Network System for Chinese Character Recognition
Daniel S. Yeung*, Fong Hak Shun* and Kwan Fai Cheung**
* Hong Kong Polytechnic (Hong Kong) **Hong Kong University of Science &
Technology (Hong Kong)
14. Synthesizing a Neocognitron Network without Training
Daniel S. Yeung*, Hing Yip Chan* and Kwan Fai Cheung**
* Hong Kong Polytechnic (Hong Kong) **Hong Kong University of Science &
Technology (Hong Kong)
----------------------------END OF REPORT-----------------------------------
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