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Advances in Computational Intelligence and Learning

Methods and Applications

  • Editors
  • Hans-Jürgen Zimmermann
  • Georgios Tselentis
  • Maarten van Someren
  • Georgios Dounias

Part of the International Series in Intelligent Technologies book series (ISIT, volume 18)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Methodologies

    1. Front Matter
      Pages 1-1
    2. Robert Babuška
      Pages 3-16
    3. James C. Bezdek, Nikhil R. Pal, Thomas A. Runkler, Kuhu Pal
      Pages 17-41
    4. Luren Yang, Tom Kavli, Mats Carlin, Sigmund Clausen, Paul F. M. De Groot
      Pages 71-84
    5. Santiago Garrido, Luis Moreno, Miguel Angel Salichs
      Pages 107-116
    6. Marian B. Gorzalczany, Adam Gluszek
      Pages 135-146
    7. Liam P. Maguire, T. Martin McGinnity, Brendan P. Glackin
      Pages 147-158
    8. Maarten W. van Someren
      Pages 183-192
    9. G. Petasis, S. Petridis, G. Paliouras, V. Karkaletsis, S. J. Perantonis, C. D. Spyropoulos
      Pages 193-210
    10. Martin Appl, Wilfried Brauer
      Pages 211-223
    11. Christian Kuhn, Jürgen Wernstedt
      Pages 225-243
  3. Applications

    1. Front Matter
      Pages 245-245
    2. Christer Carlsson, Robert Fullér
      Pages 247-262
    3. Udo Grimmer, Uwe Klotz, Martin Nelke, Marco Poloni
      Pages 291-306
    4. Brent A. Gormandy, Craig R. Edgar, Bruce E. Postlethwaite
      Pages 319-330
    5. Mariagrazia Dotoli, Bruno Maione, David Naso
      Pages 331-341
    6. Loukas Rossides, Ahmet Sekercioglu, Andreas Pitsillides, Athanasios Vasilakos, Stefan Kohler, Phuoc Tran-Gia
      Pages 343-352
    7. Antonios F. Atlasis, Athanasios V. Vasilakos
      Pages 353-369
    8. Tapio Frantti, Petri Mähönen
      Pages 371-382
    9. Georgios Tselentis, Francesco Marcelloni, Trevor P. Martin, Luca Sensi
      Pages 383-399
    10. Serhiy Shtovba, Alexander Rotshtein, Olga Pankevich
      Pages 401-411
    11. Georg Klene, Adolf Grauel, Harold J. Convey, Andrew J. Hartley
      Pages 413-423
    12. Maysam F. Abbod, Mahdi Mahfouf, Derek A. Linkens
      Pages 437-460
    13. Jan Jantzen, Hubertus Axer, Diedrich Graf von Keyserlingk
      Pages 461-474
    14. Reinhard Guthke, Wolfgang Schmidt-Heck, Daniel Hahn, Michael Pfaff
      Pages 475-487
    15. Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
      Pages 489-500
    16. Georgios Tselentis, Maarten W. van Someren
      Pages 501-511
  4. Back Matter
    Pages 513-515

About this book

Introduction

Advances in Computational Intelligence and Learning: Methods and Applications presents new developments and applications in the area of Computational Intelligence, which essentially describes methods and approaches that mimic biologically intelligent behavior in order to solve problems that have been difficult to solve by classical mathematics. Generally Fuzzy Technology, Artificial Neural Nets and Evolutionary Computing are considered to be such approaches.

The Editors have assembled new contributions in the areas of fuzzy sets, neural sets and machine learning, as well as combinations of them (so called hybrid methods) in the first part of the book. The second part of the book is dedicated to applications in the areas that are considered to be most relevant to Computational Intelligence.

Keywords

Pattern Recognition algorithms classification cognition computational intelligence data mining evolution evolutionary algorithm evolutionary computation genetic algorithm machine learning modeling neural network optimization reinforcement learning

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-010-0324-7
  • Copyright Information Kluwer Academic Publishers 2002
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-94-010-3872-0
  • Online ISBN 978-94-010-0324-7
  • Series Print ISSN 1382-3434
  • Buy this book on publisher's site
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