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Computational Intelligence

A Methodological Introduction

  • Textbook
  • © 2016

Overview

  • 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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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.

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Keywords

Table of contents (27 chapters)

  1. Neural Networks

  2. Evolutionary Algorithms

  3. Fuzzy Systems

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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