9780792399995 - Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms (10 risultati)

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Condizione: New. Examines principles, methodologies, and applications of fuzzy systems, neural networks and genetic algorithms. The study reviews concepts and models, focusing on methodologies common to fuzzy systems, neural networks and evolutionary computation, emphasizing co-operative models of hybrid systems. Editor(s): Ruan, Da. Num Pages: 373 pages, biography. BIC Classification: PBCD; PBWX. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 22. Weight in Grams: 708. . 1997. Hardback. . . . .

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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Condizione: New. Examines principles, methodologies, and applications of fuzzy systems, neural networks and genetic algorithms. The study reviews concepts and models, focusing on methodologies common to fuzzy systems, neural networks and evolutionary computation, emphasizing co-operative models of hybrid systems. Editor(s): Ruan, Da. Num Pages: 373 pages, biography. BIC Classification: PBCD; PBWX. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 22. Weight in Grams: 708. . 1997. Hardback. . . . . Books ship from the US and Ireland.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 378 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 .

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 378 pp. Englisch.