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Foundations of Generic Optimization Volume 2: Applications of Fuzzy Control, Genetic Algorithms and Neural Networks

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 curr...

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Bibliographic Details
Other Authors: Lowen, R. (Editor), Verschoren, A. (Editor)
Format: eBook
Language:English
Published: Dordrecht Springer Netherlands 2008, 2008
Edition:1st ed. 2008
Series:Mathematical Modelling: Theory and Applications
Subjects:
Optimization
Mathematics Of Computing
Computer Science / Mathematics
Discrete Mathematics In Computer Science
Population Genetics
Discrete Mathematics
Mathematical Optimization
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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245 0 0 |a Foundations of Generic Optimization  |h Elektronische Ressource  |b Volume 2: Applications of Fuzzy Control, Genetic Algorithms and Neural Networks  |c edited by R. Lowen, A. Verschoren 
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505 0 |a 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 
653 |a Optimization 
653 |a Mathematics of Computing 
653 |a Computer science / Mathematics 
653 |a Discrete Mathematics in Computer Science 
653 |a Population genetics 
653 |a Population Genetics 
653 |a Discrete Mathematics 
653 |a Discrete mathematics 
653 |a Mathematical optimization 
700 1 |a Verschoren, A.  |e [editor] 
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989 |b Springer  |a Springer eBooks 2005- 
490 0 |a Mathematical Modelling: Theory and Applications 
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520 |a 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 

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