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 Table of Contents

 Introduction
 Neural Network Theory - A Short Tutorial
 Getting Started and Basic Examples
 Perceptron
 Feedforward Network
 Radial Basis Function Network
 Training Feedforward and Radial Basis Function Networks
 Dynamic Neural Networks
 Hopfield Networks
 Unsupervised Networks
 Vector Quantization
 Application Examples
 Changing the Neural Network Structure

 Palettes

 Function Index
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