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Synopsis
Soft computing is a well-established paradigm consisting of artificial neural networks, fuzzy inference systems, approximate reasoning and derivative free optimization techniques such as evolutionary computation etc. Several adaptive hybrid soft computing architectures have in recent years been developed for solving complicated real world problems. The hybridization aims at overcoming limitations of individual techniques through fusion of different techniques. Many of these approaches use the combination of different knowledge representation schemes, decision-making models, learning strategies and optimization techniques to solve a computational task. This book investigates the optimization of artificial neural networks and fuzzy inference systems using a combination of evolutionary algorithms and local search techniques.
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About the Author
Dr. Abraham is the Director of Machine Intelligence Research Labs (MIR Labs), a Not-for-Profit Scientific Network for Innovation and Research Excellence connecting Industry and Academia. The Network with Head quarters in Seattle, USA has currently more than 1,000 scientific members from over 100 countries.
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- PublisherLAP LAMBERT Academic Publishing
- Publication date2016
- ISBN 10 3659892424
- ISBN 13 9783659892424
- BindingPaperback
- LanguageEnglish
- Number of pages212
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Hybrid Soft Computing
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LAP LAMBERT Academic Publishing Mai 2016, 2016
ISBN 10: 3659892424
ISBN 13: 9783659892424
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Soft computing is a well-established paradigm consisting of artificial neural networks, fuzzy inference systems, approximate reasoning and derivative free optimization techniques such as evolutionary computation etc. Several adaptive hybrid soft computing architectures have in recent years been developed for solving complicated real world problems. The hybridization aims at overcoming limitations of individual techniques through fusion of different techniques. Many of these approaches use the combination of different knowledge representation schemes, decision-making models, learning strategies and optimization techniques to solve a computational task. This book investigates the optimization of artificial neural networks and fuzzy inference systems using a combination of evolutionary algorithms and local search techniques. 212 pp. Englisch. Seller Inventory # 9783659892424
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Hybrid Soft Computing
Published by
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659892424
ISBN 13: 9783659892424
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Soft computing is a well-established paradigm consisting of artificial neural networks, fuzzy inference systems, approximate reasoning and derivative free optimization techniques such as evolutionary computation etc. Several adaptive hybrid soft computing architectures have in recent years been developed for solving complicated real world problems. The hybridization aims at overcoming limitations of individual techniques through fusion of different techniques. Many of these approaches use the combination of different knowledge representation schemes, decision-making models, learning strategies and optimization techniques to solve a computational task. This book investigates the optimization of artificial neural networks and fuzzy inference systems using a combination of evolutionary algorithms and local search techniques. Seller Inventory # 9783659892424
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Hybrid Soft Computing
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Abraham AjithDr. Abraham is the Director of Machine Intelligence Research Labs (MIR Labs), a Not-for-Profit Scientific Network for Innovation and Research Excellence connecting Industry and Academia. The Network with Head quarters in. Seller Inventory # 158963421
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