Fuzzy Systems and Soft Computing in Nuclear Engineering / Edition 1by Da Ruan
Pub. Date: 01/14/2000
Publisher: Physica-Verlag HD
This book is an organized edited collection of twenty-one contributed chapters covering nuclear engineering applications of fuzzy systems, neural networks, genetic algorithms and other soft computing techniques. All chapters are either updated review or original contributions by leading researchers written exclusively for this volume. The volume highlights the… See more details below
This book is an organized edited collection of twenty-one contributed chapters covering nuclear engineering applications of fuzzy systems, neural networks, genetic algorithms and other soft computing techniques. All chapters are either updated review or original contributions by leading researchers written exclusively for this volume. The volume highlights the advantages of applying fuzzy systems and soft computing in nuclear engineering, which can be viewed as complementary to traditional methods. As a result, fuzzy sets and soft computing provide a powerful tool for solving intricate problems pertaining in nuclear engineering. Each chapter of the book is self-contained and also indicates the future research direction on this topic of applications of fuzzy systems and soft computing in nuclear engineering.
Table of ContentsD. Ruan: Preface.- R. Hampel, W. Kästner, 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. Guély, 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. Benítez-Read, D. Vélez-Díaz: 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. Lindén: 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. Bütün: 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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