Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms

Description: Intelligent Hybrid Systems by Da Ruan Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms is an organized edited collection of contributed chapters covering basic principles, methodologies, and applications of fuzzy systems, neural networks and genetic algorithms. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms is an organized edited collection of contributed chapters covering basic principles, methodologies, and applications of fuzzy systems, neural networks and genetic algorithms. All chapters are original contributions by leading researchers written exclusively for this volume. This book reviews important concepts and models, and focuses on specific methodologies common to fuzzy systems, neural networks and evolutionary computation. The emphasis is on development of cooperative models of hybrid systems. Included are applications related to intelligent data analysis, process analysis, intelligent adaptive information systems, systems identification, nonlinear systems, power and water system design, and many others. Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms provides researchers and engineers with up-to-date coverage of new results, methodologies and applications for building intelligent systems capable of solving large-scale problems. Notes Springer Book Archives Table of Contents 1: Basic Principles and Methodologies.- 1 Introduction to Fuzzy Systems, Neural Networks, and Genetic Algorithms.- 2 A Fuzzy Neural Network for Approximate Fuzzy Reasoning.- 3 Novel Neural Algorithms for Solving Fuzzy Relation Equations.- 4 Methods for Simplification of Fuzzy Models.- 5 A New Approach of Neurofuzzy Learning Algorithm.- 2: Data Analysis and Information Systems.- 6 Neural Networks in Intelligent Data Analysis.- 7 Data-Driven Identification of Key Variables.- 8 Applications of Intelligent Techniques in Process Analysis.- 9 Neurofuzzy-Chaos Engineering for Building Intelligent Adaptive Information Systems.- 10 A Sequential Training Strategy for Locally Recurrent Neural Networks.- 3: Nonlinear Systems and System Identification.- 11 Adaptive Genetic Programming for System Identification.- 12 Nonlinear System Identification with Neurofuzzy Methods.- 13 A Genetic Algorithm for Mixed-Integer Optimisation in Power and Water System Design and Control.- 14 Soft Computing Based Signal Prediction, Restoration, and Filtering. Review `Overall Intelligent Hybrid Systems is an extemely useful book. It is absolutely essential for anyone attempting to keep with recent developments in soft computing, and in some contexts it may serve as an introductory guide. International Journal General Systems, 29:2 Promotional Springer Book Archives Long Description Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms is an organized edited collection of contributed chapters covering basic principles, methodologies, and applications of fuzzy systems, neural networks and genetic algorithms. All chapters are original contributions by leading researchers written exclusively for this volume. This book reviews important concepts and models, and focuses on specific methodologies common to fuzzy systems, neural networks and evolutionary computation. The emphasis is on development of cooperative models of hybrid systems. Included are applications related to intelligent data analysis, process analysis, intelligent adaptive information systems, systems identification, nonlinear systems, power and water system design, and many others. Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms provides researchers and engineers with up-to-date coverage of new results, methodologies and applications for building intelligent systems capable of solving large-scale problems. Review Quote Overall Intelligent Hybrid Systems is an extemely useful book. It is absolutely essential for anyone attempting to keep with recent developments in soft computing, and in some contexts it may serve as an introductory guide. International Journal General Systems, 29:2 Details ISBN1461378389 Language English Subtitle Fuzzy Logic, Neural Networks, and Genetic Algorithms Year 2012 Short Title INTELLIGENT HYBRID SYSTEMS SOF Media Book Edition 97199th ISBN-10 1461378389 ISBN-13 9781461378389 Imprint Springer-Verlag New York Inc. Place of Publication New York, NY Country of Publication United States Edited by Da Ruan Illustrations XIX, 354 p. AU Release Date 2012-10-02 NZ Release Date 2012-10-02 US Release Date 2012-10-02 UK Release Date 2012-10-02 Author Da Ruan Pages 354 Publisher Springer-Verlag New York Inc. Edition Description Softcover reprint of the original 1st ed. 1997 Format Paperback Publication Date 2012-10-02 Alternative 9780792399995 DEWEY 629.8 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! 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