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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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