The AAC Neural Network Toolbox(tm) contains 12 neural network paradigms with 4 learning modules. The Toolbox is designed to assist users in integrating neural networks into their application programs. The Toolbox includes: ADALINE/MADALINE, Adaptive Critic, BAM, Boltzman and Cauchy Machines, Cooperative-Competitive, Counterpropogation, Functional-Link, Hopfield, LVQ, Perception, and Self-Organizing Topology Map. Learning methods are Backpropogation, Hebbian Learning, Drive Reinforced Learning and Optimal Estimation. The Toolbox can be run in an accelerated mode with the aid of a unique AAC developed MIMD parallel processor system which has been optimized for implementing neural networks.
Robert M. Pap
President Accurate Automation Corporation 7001 Shallowford Road Chattanooga, TN 37421 USA 615-894-4646 fax:615-894-4645 rmpap@aac@oldpaint.engr.utc.edu