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Fuzzy Systems and Soft Computing in Nuclear Engineering

  • Da Ruan

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 38)

Table of contents

  1. Front Matter
    Pages I-XIV
  2. R. Hampel, W. Kästner, A. Fenske, B. Vandreier, S. Schefter
    Pages 1-39
  3. Mohand Si Fodil, Franois Guly, Patrick Siarry, Jean Luc Tyran
    Pages 52-64
  4. Da Ruan, Xiaozhong Li, Gert Van den Eynde
    Pages 65-82
  5. Pierre Kunsch, Antonio Fiordaliso, Philippe Fortemps
    Pages 153-171
  6. Rekha Govil
    Pages 235-257
  7. I. Pázsit, N. S. Garis, P. Lindén
    Pages 258-284
  8. J. Wesley Hines, Andrei V. Gribok, Ibrahim Attieh, Robert E. Uhrig
    Pages 285-314
  9. C. M. N. A. Pereira, R. Schirru, A. S. Martinez
    Pages 315-334
  10. R. Schirru, C. M. N. A. Pereira, A. S. Martinez
    Pages 335-350
  11. Andrew Zardecki
    Pages 396-412
  12. Albert G. Huizing, Frans C. A. Groen
    Pages 413-431
  13. E. Nissan, A. Galperin, J. Zhao, B. Knight, A. Soper
    Pages 432-448
  14. Back Matter
    Pages 477-481

About this book

Introduction

Fuzzy systems and soft computing are new computing techniques that are tolerant to imprecision, uncertainty and partial truths. Applications of these techniques in nuclear engineering present a tremendous challenge due to its strict nuclear safety regulation. The fields of nuclear engineering, fuzzy systems and soft computing have nevertheless matured considerably during the last decade. This book presents new application potentials for Fuzzy Systems and Soft Computing in Nuclear Engineering. The root of this book can be traced back to the series of the first, second and third international workshops on Fuzzy Logic and Intelligent Technologies in Nuclear Science (FUNS), which were successfully held in Mol, September 14-16, 1994 (FLINS'94), in Mol, September 25-27, 1996 (FLINS'96), and in Antwerp, September 14-16, 1998 (FLINS'98). The conferences were organised by the Belgian Nuclear Research Centre (SCKeCEN) and aimed at bringing together scientists, researchers, and engineers from academia and industry, at introducing the principles of fuzzy logic, neural networks, genetic algorithms and other soft computing methodologies, to the field of nuclear engineering, and at applying these techniques to complex problem­ solving within nuclear industry and related research fields. This book, as its title suggests, consists of nuclear engineering applications of fuzzy systems (Chapters 1-10) and soft computing (Chapters 11-21). Nine pertinent chapters are based on the extended version of papers at FLINS'98 and the other 12 chapters are original contributions with up-to-date coverage of fuzzy and soft computing applications by leading researchers written exclusively for this book.

Keywords

artificial intelligence classification expert system fuzzy fuzzy control fuzzy logic fuzzy set fuzzy sets fuzzy system genetic algorithms modeling networks neural networks optimization simulation

Editors and affiliations

  • Da Ruan
    • 1
  1. 1.Belgian Nuclear Research Centre (SCK*CEN)MolBelgium

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-7908-1866-6
  • Copyright Information Physica-Verlag Heidelberg 2000
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-7908-2466-7
  • Online ISBN 978-3-7908-1866-6
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site