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＜電子ブック＞
Foundations of Generic Optimization : Volume 2: Applications of Fuzzy Control, Genetic Algorithms and Neural Networks / edited by R. Lowen, A. Verschoren
(Mathematical Modelling: Theory and Applications ; 24)

版	1st ed. 2008.
出版者	(Dordrecht : Springer Netherlands : Imprint: Springer)
出版年	2008
本文言語	英語
大きさ	X, 458 p : online resource
著者標目	Lowen, R editor Verschoren, A editor SpringerLink (Online service)
件　名	LCSH:Mathematical optimization LCSH:Population genetics LCSH:Computer science -- Mathematics  全ての件名で検索 LCSH:Discrete mathematics FREE:Optimization FREE:Population Genetics FREE:Mathematics of Computing FREE:Discrete Mathematics in Computer Science FREE:Discrete Mathematics
一般注記	An Overview of Fuzzy Control Theory -- Optimal Fuzzy Management of Reservoir based on Genetic Algorithm -- Genetic Fuzzy Modeling of Supervisory Scheduling of Freight Rail Systems -- Multiobjective Evolutionary Search of Difference Equations-based Models for Understanding Chaotic Systems -- An Integrated Fuzzy Inference-based Monitoring, Diagnostic, and Prognostic System for Intelligent Control and Maintenance -- Stable Anti-Swing Control for an Overhead Crane with Velocity Estimation and Fuzzy Compensation -- Intelligent Fuzzy PID Controller -- Stability Analysis and Performance Design for Fuzzy Model-based Control Systems using a BMI-based Approach -- Two-Level Tuning of Fuzzy PID Controllers for Multivariable Process Systems -- Evaluation of Fuzzy Implications and Intuitive Criteria of GMP and GMT using MATLAB GUI -- FzController: A Development Environment for Fuzzy Controllers -- A Consistency Criterion for Optimizing Defuzzification in Fuzzy Control -- An Asymptotic Consistency Criterion for Optimizing Defuzzification in Fuzzy Control This is a comprehensive overview of the basics of fuzzy control, which also brings together some recent research results in soft computing, in particular fuzzy logic using genetic algorithms and neural networks. This book offers researchers not only a solid background but also a snapshot of the current state of the art in this field HTTP:URL=https://doi.org/10.1007/978-1-4020-6668-9

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