Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms
Editat de Da Ruanen Limba Engleză Hardback – 30 sep 1997
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.
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Specificații
ISBN-13: 9780792399995
ISBN-10: 0792399994
Pagini: 354
Ilustrații: XIX, 354 p.
Dimensiuni: 155 x 235 x 27 mm
Greutate: 0.79 kg
Ediția:1997
Editura: Springer Us
Colecția Springer
Locul publicării:New York, NY, United States
ISBN-10: 0792399994
Pagini: 354
Ilustrații: XIX, 354 p.
Dimensiuni: 155 x 235 x 27 mm
Greutate: 0.79 kg
Ediția:1997
Editura: Springer Us
Colecția Springer
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
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.
Recenzii
`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
International Journal General Systems, 29:2