Barry_A_Stevens@cup.portal.com (12/01/87)
REQUEST FOR INFORMATION ON NEURAL NETWORKS Barry A Stevens Applied AI Systems - 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. - 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: - ***The usefulness of the network paradigms listed below when applied to real problems with real data; - ***The tests that a set of training data must meet to be useable with each of the paradigms; - ***The classes of problems for which each paradigm is useful. - - 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. - 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." - These network paradigms are of specific interest: - 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 - 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. - I can be reached by email or at this address and phone: - Barry A Stevens Applied AI Systems, Inc. PO Box 2747 Del Mar, CA 92014 619-755-7231