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© 2017

Engineering Applications of Soft Computing

Benefits

  • Provides an overview of the different aspects of soft computing methods to create a global understanding of the field and to help conduct studies on specific soft computing techniques related to engineering applications

  • Presents new applications and implementations of soft computing approaches in various engineering contexts

  • Collects 12 structured chapters, each of which can be read independently of the others

  • Written and prepared from a teaching perspective

  • Bridges the gap between recent soft computing techniques and complex engineering applications

Book

Part of the Intelligent Systems Reference Library book series (ISRL, volume 129)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Margarita-Arimatea Díaz-Cortés, Erik Cuevas, Raúl Rojas
    Pages 1-12
  3. Margarita-Arimatea Díaz-Cortés, Erik Cuevas, Raúl Rojas
    Pages 13-44
  4. Margarita-Arimatea Díaz-Cortés, Erik Cuevas, Raúl Rojas
    Pages 45-57
  5. Margarita-Arimatea Díaz-Cortés, Erik Cuevas, Raúl Rojas
    Pages 59-75
  6. Margarita-Arimatea Díaz-Cortés, Erik Cuevas, Raúl Rojas
    Pages 77-100
  7. Margarita-Arimatea Díaz-Cortés, Erik Cuevas, Raúl Rojas
    Pages 101-127
  8. Margarita-Arimatea Díaz-Cortés, Erik Cuevas, Raúl Rojas
    Pages 129-141
  9. Margarita-Arimatea Díaz-Cortés, Erik Cuevas, Raúl Rojas
    Pages 143-164
  10. Margarita-Arimatea Díaz-Cortés, Erik Cuevas, Raúl Rojas
    Pages 165-192
  11. Margarita-Arimatea Díaz-Cortés, Erik Cuevas, Raúl Rojas
    Pages 193-214
  12. Margarita-Arimatea Díaz-Cortés, Erik Cuevas, Raúl Rojas
    Pages 215-237
  13. Margarita-Arimatea Díaz-Cortés, Erik Cuevas, Raúl Rojas
    Pages 239-258

About this book

Introduction

This book bridges the gap between Soft Computing techniques and their applications to complex engineering problems. In each chapter we endeavor to explain the basic ideas behind the proposed applications in an accessible format for readers who may not possess a background in some of the fields. Therefore, engineers or practitioners who are not familiar with Soft Computing methods will appreciate that the techniques discussed go beyond simple theoretical tools, since they have been adapted to solve significant problems that commonly arise in such areas. At the same time, the book will show members of the Soft Computing community how engineering problems are now being solved and handled with the help of intelligent approaches.

Highlighting new applications and implementations of Soft Computing approaches in various engineering contexts, the book is divided into 12 chapters. Further, it has been structured so that each chapter can be read independently of the others.

Keywords

Soft Computing Computational Intelligence Intelligent Systems Artificial Intelligence Soft Computing Methods

Authors and affiliations

  1. 1.Department of Mathematics and Computer ScienceFreie Universität BerlinBerlinGermany
  2. 2.CUCEI, Universidad de GuadalajaraGuadalajaraMexico
  3. 3.Department of Mathematics and Computer ScienceFreie Universität BerlinBerlinGermany

Bibliographic information

  • Book Title Engineering Applications of Soft Computing
  • Authors Margarita-Arimatea Díaz-Cortés
    Erik Cuevas
    Raúl Rojas
  • Series Title Intelligent Systems Reference Library
  • Series Abbreviated Title Intel.Syst.Ref.Library
  • DOI https://doi.org/10.1007/978-3-319-57813-2
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-319-57812-5
  • Softcover ISBN 978-3-319-86257-6
  • eBook ISBN 978-3-319-57813-2
  • Series ISSN 1868-4394
  • Series E-ISSN 1868-4408
  • Edition Number 1
  • Number of Pages XV, 258
  • Number of Illustrations 118 b/w illustrations, 0 illustrations in colour
  • Topics Computational Intelligence
    Artificial Intelligence
  • Buy this book on publisher's site
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