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Started by Jonathan A. Marshall
Tue, 08 Sep 1992 20:55
Triangle NN talk: Chow
Author: Jonathan A. Marshall
Date: Tue, 08 Sep 1992 20:55
Date: Tue, 08 Sep 1992 20:55
41 lines
2295 bytes
2295 bytes
Triangle Area Neural Network Society
>THE FIRST TANNS MEETING OF THIS ACADEMIC YEAR
PLACE: BNR, INC. (DIRECTIONS BELOW), Research Triangle Park, NC
DATE: SEPTEMBER 15, 1992 -- 5:30 PM. Refreshments will be provided.
SPEAKER:
> Mo-yuen Chow
> Department of Electrical and Computer Engineering
> North Carolina State University
TITLE:
> Fuzzy Logic Approach for the Design of Artificial Neural
> Network Configurations
ABSTRACT:
> There exist many different artificial neural network structures that can
> satisfy a given engineering application. Not only can different networks,
> such as the feedforward net and Kohonen net can be used to satisfactorily
> perform the given task, but also different configurations of a neural
> network paradigm can be used as well. The network design process needs
> to consider many factors such as the number of neurons, number of inputs,
> accuracy, robustness and training time. In this paper, a method for
> dynamically changing the number of inputs and hidden nodes of the network
> using fuzzy logic to optimize a given cost function is presented and
> discussed. The cost function is used to make a quantitative comparison
> between individual network structures and is based on the accuracy,
> robustness, training time, and number of neurons used in the network
> configuration. For illustration purposes, a fault detection artificial
> neural network is configured based on the optimization of the cost function.
DIRECTIONS: From Raleigh/Durham/Chapel Hill: take I-40 toward Research
Triangle Park and get off at Davis Drive. Turn left (south), and follow
Davis through to the intersection with Highway 54. Continue for another 1/2
mile, and turn left into the BNR entrance on Davis. This is the employee
lot; park there and go in the door at that entrance.
QUESTIONS: PLEASE CONTACT JOHN SUTTON AT (919)515-5065 OR sutton@eos.ncsu.edu
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