Accurate Automation Neural Network Tools (NNT)

The AAC Neural Network Tools (NNT) contains 12 neural network paradigms with 4 learning modules. NNT is designed to assist users in integrating neural networks into their application programs. NNT 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. NNT 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 Pap

President