Barry_A_Stevens@cup.portal.com (12/01/87)
REQUEST FOR INFORMATION ON NEURAL NETWORKS
Barry A Stevens
Applied AI Systems
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I am conducting a survey to identify the "useful" neural network
paradigms. There are many available, but few have established
themselves as robust and trainable in the commercial environment.
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I seek either: pointers to information sources, or information itself.
With enough response, I will summarize and post to the net. The three
types of information sought are:
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***The usefulness of the network paradigms listed below when applied
to real problems with real data;
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***The tests that a set of training data must meet to be useable with
each of the paradigms;
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***The classes of problems for which each paradigm is useful.
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Comments on stability, robustness, ease of construction and test, and
results obtained from the application would be useful and welcome.
Pointers to sources that contain such information are equally welcome.
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I already have access to numerous technical papers that talk about
such things as "spatiotemporal uses" as a class of applications. What
is of more interest is "The Spatiotemporal Paradigm was successfully
used to identify specific waveforms and patterns in foreign currency
trading data... etc.". Or this: "a backpropogation network was used to
implement a consumer loan approval system, with performance exceeding
both that of human loan officers making the loans and a rule-based
expert system designed for the same purpose. The network was trained
in three weeks, the expert system took two manyears to build."
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These network paradigms are of specific interest:
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Back Propogation
Back Propogation - shared weights
Counter Propogation
Adaptive Resonance 1 and 2
Binary Associative Memory
Satiotemporal Network
Neocognitron
Hopfield Network
Kohonen Feature Map
Boltzman Machine
Group Method of Data Handling
Barron Associates: polynomial synthesis
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If there are others that you feel are also of interest, please feel
free comment on them as well. Also, I realize that some of these are
not neural network paradigms per se, but they have been used in the
same situations and are therefore of interest.
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I can be reached by email or at this address and phone:
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Barry A Stevens
Applied AI Systems, Inc.
PO Box 2747
Del Mar, CA 92014
619-755-7231