11 MACHINE LEARNING: CONNECTIONIST 453
11.0 Introduction 453
11.1 Foundations for Connectionist Networks 455
11.2 Perceptron Learning 458 11.3 Backpropagation Learning 467 11.4 Competitive Learning 474 11.5 Hebbian Coincidence Learning 484 11.6 Attractor Networks or "Memories" 495 11.7 Epilogue and References 505 11.8 Exercises 506
11.3 Backpropagation Learning 467
11.4 Competitive Learning 474
11.5 Hebbian Coincidence Learning 484
11.6 Attractor Networks or "Memories" 495
11.7 Epilogue and References 505
11.8 Exercises 506
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Table of Contents
Preface
Chapter One