Fuzzy systems and soft computing in nuclear engineering
Author(s)
Bibliographic Information
Fuzzy systems and soft computing in nuclear engineering
(Studies in fuzziness and soft computing, v. 38)
Physica-Verlag, c2000
Available at 2 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Description and Table of Contents
Description
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.
Table of Contents
D. Ruan: Preface.- R. Hampel, W. Kastner, A. Fenske, B. Vandreier, S. Schefter: Analysis of Selected Structures for Model-Based Measuring Methods Using Fuzzy Logic.- B. Soo Moon: A Set of Fuzzy Systems to Automate the Manual Procedures for Reactor Power Level Changes.- M.S. Fodil, F. Guely, P. Siarry, J-L. Tyran: A Fuzzy Controller for the Real Time Supervision of Nuclear Power Reactors.- D. Ruan, X.Z. Li, G. Van den Eynde: Adaptive Fuzzy Control for a Simulation of Hydraulic Analogy of a Nuclear Reactor.- J.S. Benitez-Read, D. Velez-Diaz: Controlling Neutron Power of a TRIGA Mark III Research Nuclear Reactor with Fuzzy Adaptation of the Set of Output Membership Functions.- I. Petruzela: NPP Operator Support in Decision Making - Diagnostics of the Operation Failures Using Fuzzy Logic.- J.Y. Yang, K.J. Lee: Optimal Operation Planning of Radioactive Waste Processing System by Fuzzy Theory.- P. Kunsch, A. Fiordaliso, P. Fortemps: A Fuzzy Inference System for the Economic Calculus in Radioactive Waste Management.- M.G. Na: Neuro-Fuzzy Control Applications in Pressurized Water Reactors.- D. Roverso: Neural and Fuzzy Transient Classification Systems: General Techniques and Applications in Nuclear Power Plants.- R. Govil: Neural Networks in Signal Processing.- N.S. Garis, P. Linden: Application of Neural Networks in Reactor Diagnosis and Monotoring.- J.W. Hines, A.V. Gribok, I. Attieh, R.E. Uhrig: Regularization Methods for Inferential Sensing in Nuclear Power Plants.- C.M.N.A. Pereira, R. Schirru, A.S. Martinez: Genetic Algorithms Applied to Nuclear Reactor Design Optimization.- R. Schirru, C.M.N.A. Pereira, A.S. Martinez: Genetic Algorithms Applied to the Nuclear Power Plant Operation.- K. Erkan, E. Butun: Reactor Controller Design Using Genetic Algorithms with Simulated Annealing.- Y.-S. Hu, M. Modarres: Logic-Based Hierarchies for Modeling Behavior of Complex Dynamic Systems with Applications.- A. Zardecki: Continued Fractions in Time Series Forecasting.- A.G. Huizing , F.C.A. Groen: A Possibilistic Approach to Target Classification.- E. Nissan, A. Galperin, J. Zhao, B. Knight, A. Soper: From FUELCON to FUELGEN: Tools for Fuel Reload Pattern Design.- J. Reifman, T.Y.C. Wei: Diagnosis of Unanticipated Plant Component Faults in a Portable Expert System.
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