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Article #9236How to learn about ALNs (adaptive logic networks)
From: Bill Armstrong
Date: Thu, 10 Aug 1995 00:00
Date: Thu, 10 Aug 1995 00:00
64 lines
3714 bytes
3714 bytes
ALN Educational Kit If you are interested in learning about adaptive logic networks (ALNs), but the problem is you don't have up-to date software (Atree 2.0 and Atree 2.7 are fairly obsolete now), then the Atree 3.0 Educational Kit is just what you need. You can ftp it from ftp.cs.ualberta.ca in pub/atree/atree3/atree3ek.exe (binary mode, approx 1.2 Mb). The software runs under Windows (3.1, NT Server, NT Workstation, 95,...). One remark about the setup file you get: it may ask for some responses when it finds some software components in use. Just click on "ignore" in that case. The ALN Educational Kit handles functions of one or two input variables (where the Atree 3.0 beta package is not restricted in this way.) This means that you can view and study the result of learning using the included gnuplot software. The two-spirals problem is one of the examples, but there are other examples that illustrate how you can include your knowledge of the *qualitative* properties of a function to limit the admissible solutions. For example, you can force functions to be convex-up (dome-shaped) by using a very simple net architecture. For projects, the kit includes software that can initiate ALN learning or evaluation from any program that can call a DLL. Examples show how this can be done from MS-Excel and from MS-Access, with an example where you try to predict the opponent's bid in a competitive bidding situation. Time shifts are included as a feature of the ALN Definition Language (ADL), for those who deal with time-series or control problems (and of course those who play the stock market). Atree 3.0 has been used very successfully to give real-time functional electrical stimulation to control a walking prosthesis for incomplete quadriplegics. Other promising areas of application where the student of ALNs can do some exciting projects are in predictive maintenance, nondestructive testing, pattern recognition, computer vision. Most real problems will require the full Atree 3.0, and, without becoming commercial here, the good news is that it costs less than $100 US to acquire while it it still under beta test (probably until October '95). You can email me whenever you decide to upgrade (arms@cs.ualberta.ca) and I'll provide details. We would like to keep improving the Educational Kit, and your suggestions are welcome. Instructors of neural net courses who would like to include an ALN component can inquire about special rates for upgrades for students doing class projects. Have fun with ALNs using the Educational Kit! In a subsequent posting, I'll put out a one-pager that shows how to set up a net and run tests. Bill -- * Prof. William W. Armstrong, arms@cs.ualberta.ca * Computing Science Department, tel(403)492 2374 fax (403)492 1071 * University of Alberta, home (403) 438 1103 * Edmonton, Alberta, Canada T6G 2H1 http://web.cs.ualberta.ca/~arms
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X-Google-Language: ENGLISH,ASCII-7-bit X-Google-Thread: 103d82,7cdf88f7cefdd558,start X-Google-Attributes: gid103d82,public X-Google-Thread: 10461e,7cdf88f7cefdd558,start X-Google-Attributes: gid10461e,public X-Google-Thread: 10d04f,7cdf88f7cefdd558,start X-Google-Attributes: gid10d04f,public From: arms@cs.ualberta.ca (Bill Armstrong) Subject: How to learn about ALNs (adaptive logic networks) Date: 1995/08/10 Message-ID: <40d8mp$q2o@scapa.cs.ualberta.ca> X-Deja-AN: 107913308 organization: Computing Science, U of Alberta, Edmonton, Canada keywords: adaptive logic network, neural network, machine learning newsgroups: comp.ai,comp.ai.neural-nets,can.ai summary: A free Educational Kit allows the user to explore ALNs