Computational Intelligence

A Methodological Introduction

ISBN: 978-1-4471-7294-9 (Print) 978-1-4471-7296-3 (Online)

Table of contents (27 chapters)

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  1. Front Matter

    Pages i-xiii

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    Chapter

    Pages 1-5

    Introduction to Computational Intelligence

  3. Neural Networks

    1. Front Matter

      Pages 7-7

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      Chapter

      Pages 9-13

      Introduction to Neural Networks

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      Chapter

      Pages 15-35

      Threshold Logic Units

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      Chapter

      Pages 37-46

      General Neural Networks

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      Chapter

      Pages 47-92

      Multilayer Perceptrons

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      Chapter

      Pages 93-112

      Radial Basis Function Networks

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      Chapter

      Pages 113-129

      Self-organizing Maps

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      Chapter

      Pages 131-157

      Hopfield Networks

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      Chapter

      Pages 159-171

      Recurrent Networks

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      Chapter

      Pages 173-180

      Mathematical Remarks for Neural Networks

  4. Evolutionary Algorithms

    1. Front Matter

      Pages 181-181

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      Chapter

      Pages 183-212

      Introduction to Evolutionary Algorithms

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      Chapter

      Pages 213-243

      Elements of Evolutionary Algorithms

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      Chapter

      Pages 245-297

      Fundamental Evolutionary Algorithms

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      Chapter

      Pages 299-325

      Computational Swarm Intelligence

  5. Fuzzy Systems

    1. Front Matter

      Pages 327-327

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      Chapter

      Pages 329-359

      Introduction to Fuzzy Sets and Fuzzy Logic

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      Chapter

      Pages 361-367

      The Extension Principle

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      Chapter

      Pages 369-382

      Fuzzy Relations

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      Chapter

      Pages 383-393

      Similarity Relations

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      Chapter

      Pages 395-430

      Fuzzy Control

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      Chapter

      Pages 431-456

      Fuzzy Data Analysis

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