Intelligent Techniques and Soft Computing in Nuclear Science and Engineering

Description

This book is divided into three parts. The first part, “Mathematical Tools and New Developments”, provides basic tools to treat fuzzy set theory, rough set theory, fuzzy control, fuzzy modelling, decision support systems, and related applications. The second part, “Intelligent Engineering Applications”, reports on engineering problems such as man-machine interface, risk analysis, image processing, robotics, knowledge-based engineering, expert systems, process control integration, diagnosis, measurements and interpretation by intelligent techniques and soft computing used for general engineering applications. The third part, “Nuclear Engineering Applications”, concentrates on nuclear applications and covers several topics such as nuclear energy, nuclear safety assessment, radioactive waste management, nuclear measurements, nuclear safeguards, nuclear reactor operation, reactor controller design, fuel reload pattern design, signal validation, nuclear power plants, and optimizations in nuclear applications. Contents:Fuzzy-Neural Systems: A Basis for Soft-Computing (M M Gupta)Images Under Fuzzy Relations: A Master-Key to Fuzzy Applications (M De Cock et al.)New Formulations of Law of Large Numbers and Its Convergence in the Framework of Possibility Theory (M Oussalah)Learning and Applications Based on Rough Set Theory (D Cai)Genetic Optimization with Fuzzy Decoding (Y-C Tang et al.)Application of Expert System and Machine Learning Approach to Intelligent Man–Machine Interface (M Šorf et al.)Satellite Image Restoration Based on Atmospheric MTF Evaluation (D Arbel & N S Kopeika)Knowledge Representation Using Fuzzy Logic Based Characteristics for Safety Related Applications Part I: Basic Investigations (R Hampel et al.)An Evaluation Method on the Integrated Safeguards Based on Fuzzy Theory (H Matsuoka et al.)Optimization of the Number of Fuzzy Rules Towards a Better Temperature Control of Nuclear Reactors (M Si Fodil et al.)Optimization of the Device of Stages Through Genetic Algorithms for Non-Markovian Systems Reliability Evaluation: An Application to Nuclear Safety Systems (M E Costa Nunes)and other papers Readership: Engineers, computer scientists, mathematicians, medical professionals, psychologists and sociologists. Keywords:Mathematical Tools and New Developments;Intelligent Engineering Applications;Nuclear Engineering Applications;Genetic Optimization;Atmospheric MTF Evaluation;Fuzzy Logic;Fuzzy Theory

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