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New Learning Paradigms in Soft Computing

  • Lakhmi C. Jain
  • Janusz Kacprzyk

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 84)

Table of contents

  1. Front Matter
    Pages I-XII
  2. H. H. Yang, S. Amari
    Pages 1-29
  3. Witold Pedrycz
    Pages 30-54
  4. V. G. Kaburlasos, V. Petridis
    Pages 55-96
  5. G. Bontempi, M. Birattari, H. Bersini
    Pages 97-136
  6. M. Hasenjäger, H. Ritter
    Pages 137-169
  7. Witold Pedrycz, Piotr S. Szczepaniak
    Pages 251-275
  8. Krzysztof J. Cios, Łukasz A. Kurgan
    Pages 276-322
  9. A. Verikas, A. Gelzinis, K. Malmqvist
    Pages 368-403
  10. Jerzy W. Grzymała-Busse, Linda K. Goodwin, Witold J. Grzymała-Busse, Xinqun Zheng
    Pages 404-418
  11. María C. Fernández-Baizán, Ernestina Menasalvas Ruiz, Juan Francisco Martínez Sarrías
    Pages 419-438

About this book

Introduction

Learning is a key issue in the analysis and design of all kinds of intelligent systems. In recent time many new paradigms of automated (machine) learning have been proposed in the literature. Soft computing, that has proved to be an effective and efficient tool in so many areas of science and technology, seems to offer new qualities in the realm of machine learning too. The purpose of this volume is to present some new learning paradigms that have been triggered, or at least strongly influenced by soft computing tools and techniques, mainly related to neural networks, fuzzy logic, rough sets, and evolutionary computations.

Keywords

Lazy learning artificial intelligence classification evolution evolutionary computation fuzzy fuzzy logic intelligence intelligent systems knowledge learning machine learning neural networks reinforcement learning supervised learning

Editors and affiliations

  • Lakhmi C. Jain
    • 1
  • Janusz Kacprzyk
    • 2
  1. 1.Knowledge-Based Intelligent Engineering Systems CentreUniversity of South AustraliaAdelaide, Mawson LakesAustralia
  2. 2.Systems Research InstitutePolish Academy of SciencesWarsawPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-7908-1803-1
  • Copyright Information Physica-Verlag Heidelberg 2002
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-7908-2499-5
  • Online ISBN 978-3-7908-1803-1
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
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