Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms (Paperback)Da Ruan (editor)
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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.
Publisher: Springer-Verlag New York Inc.
Number of pages: 354
Weight: 581 g
Dimensions: 235 x 155 x 19 mm
Edition: Softcover reprint of the original 1st ed. 199
International Journal General Systems, 29:2
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