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An Introduction to Neural Networks

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Contents

I FUNDAMENTALS

1 Introduction

2 Fundamentals

II THEORY

3 Perceptron and Adaline

4 Back-Propagation

5 Recurrent Networks

6 Self-Organizing Networks

7 Reinforcement learning

III APPLICATIONS

8 Robot Control

9 Vision

IV IMPLEMENTATIONS

10 General Purpose Hardware

11 Dedicated Neuro-Hardware

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