Exact Neural Configurations from Training Examples - Generating Neural Rule Sets

Cybernet developed a detailed study showing the usefulness of adaptive network decision-making in real-world applications. The review included a consideration of advantages/disadvantages over traditional decision-making methods; techniques for training, testing and evaluating systems; and network functions. Adaptive networks which are covered include back propagation, counter propagation, bi-directional associative memory, Hopfield, brain-state-in-a-box, self-organizing map, perceptron, functional link, adaline, madaline, adaptive resonance theory 1, and genetic algorithm.