Fuzzy Systems and Soft Computing in Nuclear Engineering

1. Front Matter

   Pages I-XIV

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2. Analysis of Selected Structures for Model-Based Measuring Methods Using Fuzzy Logic

   • R. Hampel, W. Kästner, A. Fenske, B. Vandreier, S. Schefter

   Pages 1-39

3. A Set of Fuzzy Systems to Automate the Manual Procedures for Reactor Power Level Changes

   • Byung Soo Moon

   Pages 40-51

4. A Fuzzy Controller for the Real Time Supervision of Nuclear Power Reactors

   • Mohand Si Fodil, Franois Guly, Patrick Siarry, Jean Luc Tyran

   Pages 52-64

5. Adaptive Fuzzy Control for a Simulation of Hydraulic Analogy of a Nuclear Reactor

   • Da Ruan, Xiaozhong Li, Gert Van den Eynde

   Pages 65-82

6. Controlling Neutron Power of a TRIGA Mark III Research Nuclear Reactor with Fuzzy Adaptation of the Set of Output Membership Functions

   • Jorge S. Benítez-Read, Daniel Vélez-Díaz

   Pages 83-114

7. NPP Operator Support in Decision Making — Diagnostics of the Operation Failures Using Fuzzy Logic

   • Ivan Petruzela

   Pages 115-134

8. Optimal Operation Planning of Radioactive Waste Processing System by Fuzzy Theory

   • Jin Yeong Yang, Kun Jai Lee

   Pages 135-152

9. A Fuzzy Inference System for the Economic Calculus in Radioactive Waste Management

   • Pierre Kunsch, Antonio Fiordaliso, Philippe Fortemps

   Pages 153-171

10. Neuro-Fuzzy Control Applications in Pressurized Water Reactors

    • Man Gyun Na

    Pages 172-207

11. Neural and Fuzzy Transient Classification Systems: General Techniques and Applications in Nuclear Power Plants

    • Davide Roverso

    Pages 208-234

12. Neural Networks in Signal Processing

    • Rekha Govil

    Pages 235-257

13. Application of Neural Networks in Reactor Diagnostics and Monitoring

    • I. Pázsit, N. S. Garis, P. Lindén

    Pages 258-284

14. Regularization Methods for Inferential Sensing in Nuclear Power Plants

    • J. Wesley Hines, Andrei V. Gribok, Ibrahim Attieh, Robert E. Uhrig

    Pages 285-314

15. Genetic Algorithms Applied to Nuclear Reactor Design Optimization

    • C. M. N. A. Pereira, R. Schirru, A. S. Martinez

    Pages 315-334

16. Genetic Algorithms Applied to the Nuclear Power Plant Operation

    • R. Schirru, C. M. N. A. Pereira, A. S. Martinez

    Pages 335-350

17. Reactor Controller Design Using Genetic Algorithms with Simulated Annealing

    • Kadir Erkan, Erhan Bütün

    Pages 351-363

18. Logic-Based Hierarchies for Modeling Behavior of Complex Dynamic Systems with Applications

    • Y.-S. Hu, M. Modarres

    Pages 364-395

19. Continued Fractions in Time Series Forecsting

    • Andrew Zardecki

    Pages 396-412

20. A Possibilistic Approach to Target Classification

    • Albert G. Huizing, Frans C. A. Groen

    Pages 413-431

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.

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

• Belgian Nuclear Research Centre (SCK*CEN), Mol, Belgium

  Da Ruan

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