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Computational Intelligence

A Methodological Introduction

  • Textbook
  • © 2016

Overview

Authors:
  1. Rudolf Kruse

    1. Otto-von-Guericke-University, Magdeburg, Germany

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  2. Christian Borgelt

    1. Otto-von-Guericke-University, Magdeburg, Germany

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  3. Christian Braune

    1. Otto-von-Guericke-University, Magdeburg, Germany

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  4. Sanaz Mostaghim

    1. Otto-von-Guericke-University, Magdeburg, Germany

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  5. Matthias Steinbrecher

    1. SAP Innovation Center, Potsdam, Germany

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  • Written by a team of highly-regarded experts, with extensive experience in both academia and industry
  • Offers a profound theoretical introduction to computational intelligence for both students and practitioners
  • Provides electronic supplementary material at an associated website, including module descriptions, lecture slides, exercises with solutions, and software tools
  • Fully revised new edition, expanded with new content on swarm intelligence, deep learning, fuzzy data analysis, and discrete decision graphs
  • Includes supplementary material: sn.pub/extras

Part of the book series: Texts in Computer Science (TCS)

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Table of contents (27 chapters)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Introduction to Computational Intelligence

    • Rudolf Kruse, Christian Borgelt, Christian Braune, Sanaz Mostaghim, Matthias Steinbrecher
    Pages 1-5

  3. Neural Networks

    1. Front Matter

      Pages 7-7
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    2. Introduction to Neural Networks

      • Rudolf Kruse, Christian Borgelt, Christian Braune, Sanaz Mostaghim, Matthias Steinbrecher
      Pages 9-13

    3. Threshold Logic Units

      • Rudolf Kruse, Christian Borgelt, Christian Braune, Sanaz Mostaghim, Matthias Steinbrecher
      Pages 15-35

    4. General Neural Networks

      • Rudolf Kruse, Christian Borgelt, Christian Braune, Sanaz Mostaghim, Matthias Steinbrecher
      Pages 37-46

    5. Multilayer Perceptrons

      • Rudolf Kruse, Christian Borgelt, Christian Braune, Sanaz Mostaghim, Matthias Steinbrecher
      Pages 47-92

    6. Radial Basis Function Networks

      • Rudolf Kruse, Christian Borgelt, Christian Braune, Sanaz Mostaghim, Matthias Steinbrecher
      Pages 93-112

    7. Self-organizing Maps

      • Rudolf Kruse, Christian Borgelt, Christian Braune, Sanaz Mostaghim, Matthias Steinbrecher
      Pages 113-129

    8. Hopfield Networks

      • Rudolf Kruse, Christian Borgelt, Christian Braune, Sanaz Mostaghim, Matthias Steinbrecher
      Pages 131-157

    9. Recurrent Networks

      • Rudolf Kruse, Christian Borgelt, Christian Braune, Sanaz Mostaghim, Matthias Steinbrecher
      Pages 159-171

    10. Mathematical Remarks for Neural Networks

      • Rudolf Kruse, Christian Borgelt, Christian Braune, Sanaz Mostaghim, Matthias Steinbrecher
      Pages 173-180

  4. Evolutionary Algorithms

    1. Front Matter

      Pages 181-181
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    2. Introduction to Evolutionary Algorithms

      • Rudolf Kruse, Christian Borgelt, Christian Braune, Sanaz Mostaghim, Matthias Steinbrecher
      Pages 183-212

    3. Elements of Evolutionary Algorithms

      • Rudolf Kruse, Christian Borgelt, Christian Braune, Sanaz Mostaghim, Matthias Steinbrecher
      Pages 213-243

    4. Fundamental Evolutionary Algorithms

      • Rudolf Kruse, Christian Borgelt, Christian Braune, Sanaz Mostaghim, Matthias Steinbrecher
      Pages 245-297

    5. Computational Swarm Intelligence

      • Rudolf Kruse, Christian Borgelt, Christian Braune, Sanaz Mostaghim, Matthias Steinbrecher
      Pages 299-325

  5. Fuzzy Systems

    1. Front Matter

      Pages 327-327
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    2. Introduction to Fuzzy Sets and Fuzzy Logic

      • Rudolf Kruse, Christian Borgelt, Christian Braune, Sanaz Mostaghim, Matthias Steinbrecher
      Pages 329-359

    3. The Extension Principle

      • Rudolf Kruse, Christian Borgelt, Christian Braune, Sanaz Mostaghim, Matthias Steinbrecher
      Pages 361-367
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Keywords

About this book

This textbook provides a clear and logical introduction to the field, covering the fundamental concepts, algorithms and practical implementations behind efforts to develop systems that exhibit intelligent behavior in complex environments. This enhanced second edition has been fully revised and expanded with new content on swarm intelligence, deep learning, fuzzy data analysis, and discrete decision graphs. 

Features: provides supplementary material at an associated website; contains numerous classroom-tested examples and definitions throughout the text; presents useful insights into all that is necessary for the successful application of computational intelligence methods; explains the theoretical background underpinning proposed solutions to common problems; discusses in great detail the classical areas of artificial neural networks, fuzzy systems and evolutionary algorithms; reviews the latest developments in the field, covering such topics as ant colonyoptimization and probabilistic graphical models.

Reviews

“It is a great book, very well written, that presents solid content in a very rigorous theoretical and practical way and provides an excellent methodological guide to the area of computational intelligence —one that could be qualified as a ‘must’ for the library of any student, professor, researcher or professional in that area.” (José Luis Verdegay, Mathematical Reviews, May, 2017)

Authors and Affiliations

  • Otto-von-Guericke-University, Magdeburg, Germany

    Rudolf Kruse, Christian Borgelt, Christian Braune, Sanaz Mostaghim

  • SAP Innovation Center, Potsdam, Germany

    Matthias Steinbrecher

About the authors

Rudolf Kruse and Sanaz Mostaghim are professors at the Department of Computer Science of the Otto von Guericke University of Magdeburg, Germany. Christian Borgelt is a principal researcher, and Christian Braune is a research assistant at the same institution. Matthias Steinbrecher is with SAP SE, Potsdam, Germany.

Bibliographic Information

  • Book Title: Computational Intelligence

  • Book Subtitle: A Methodological Introduction

  • Authors: Rudolf Kruse, Christian Borgelt, Christian Braune, Sanaz Mostaghim, Matthias Steinbrecher

  • Series Title: Texts in Computer Science

  • DOI: https://doi.org/10.1007/978-1-4471-7296-3

  • Publisher: Springer London

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer-Verlag London Ltd., part of Springer Nature 2016

  • Softcover ISBN: 978-1-4471-7398-4Published: 08 June 2018

  • eBook ISBN: 978-1-4471-7296-3Published: 16 September 2016

  • Series ISSN: 1868-0941

  • Series E-ISSN: 1868-095X

  • Edition Number: 2

  • Number of Pages: XIII, 564

  • Number of Illustrations: 255 b/w illustrations

  • Topics: Artificial Intelligence, Mathematical and Computational Engineering

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