Competition-Based Neural Networks with Robotic Applications (SpringerBriefs in Applied Sciences and Technology) - Softcover
Synopsis
Focused on solving competition-based problems, this book designs, proposes, develops, analyzes and simulates various neural network models depicted in centralized and distributed manners. Specifically, it defines four different classes of centralized models for investigating the resultant competition in a group of multiple agents. With regard to distributed competition with limited communication among agents, the book presents the first distributed WTA (Winners Take All) protocol, which it subsequently extends to the distributed coordination control of multiple robots.
Illustrations, tables, and various simulative examples, as well as a healthy mix of plain and professional language, are used to explain the concepts and complex principles involved. Thus, the book provides readers in neurocomputing and robotics with a deeper understanding of the neural network approach to competition-based problem-solving, offers them an accessible introduction to modeling technology and the distributed coordination control of redundant robots, and equips them to use these technologies and approaches to solve concrete scientific and engineering problems.
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Competition-Based Neural Networks with Robotic Applications (eng)
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Competition-Based Neural Networks with Robotic Applications
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SPRINGER NATURE Jun 2017, 2017
ISBN 10: 9811049467
ISBN 13: 9789811049460
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Focused on solving competition-based problems, this book designs, proposes, develops, analyzes and simulates various neural network models depicted in centralized and distributed manners. Specifically, it defines four different classes of centralized models for investigating the resultant competition in a group of multiple agents. With regard to distributed competition with limited communication among agents, the book presents the first distributed WTA (Winners Take All) protocol, which it subsequently extends to the distributed coordination control of multiple robots.Illustrations, tables, and various simulative examples, as well as a healthy mix of plain and professional language, are used to explain the concepts and complex principles involved. Thus, the book provides readers in neurocomputing and robotics with a deeper understanding of the neural network approach to competition-based problem-solving, offers them an accessible introduction to modeling technology and the distributed coordination control of redundant robots, and equips them to use these technologies and approaches to solve concrete scientific and engineering problems. 121 pp. Englisch. Seller Inventory # 9789811049460
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Competition-based Neural Networks with Robotic Applications
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The first book to solve competition-based problems by means of various centralized or distributed neural network modelsIncludes theoretical analyses, computer simulations, and robotic applications in neurocomputing fieldsPaves the way for th. Seller Inventory # 150667403
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Competition-based Neural Networks With Robotic Applications
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Springer-Verlag New York Inc, 2017
ISBN 10: 9811049467
ISBN 13: 9789811049460
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Competition-Based Neural Networks with Robotic Applications (SpringerBriefs in Applied Sciences and Technology)
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Competition-Based Neural Networks with Robotic Applications (SpringerBriefs in Applied Sciences and Technology)
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Competition-Based Neural Networks with Robotic Applications (SpringerBriefs in Applied Sciences and Technology)
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Competition-Based Neural Networks with Robotic Applications
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Springer Nature Singapore, 2017
ISBN 10: 9811049467
ISBN 13: 9789811049460
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Focused on solving competition-based problems, this book designs, proposes, develops, analyzes and simulates various neural network models depicted in centralized and distributed manners. Specifically, it defines four different classes of centralized models for investigating the resultant competition in a group of multiple agents. With regard to distributed competition with limited communication among agents, the book presents the first distributed WTA (Winners Take All) protocol, which it subsequently extends to the distributed coordination control of multiple robots.Illustrations, tables, and various simulative examples, as well as a healthy mix of plain and professional language, are used to explain the concepts and complex principles involved. Thus, the book provides readers in neurocomputing and robotics with a deeper understanding of the neural network approach to competition-based problem-solving, offers them an accessible introduction to modeling technology and the distributed coordination control of redundant robots, and equips them to use these technologies and approaches to solve concrete scientific and engineering problems. Seller Inventory # 9789811049460
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Competition-Based Neural Networks with Robotic Applications
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Taschenbuch. Condition: Neu. Competition-Based Neural Networks with Robotic Applications | Shuai Li (u. a.) | Taschenbuch | xv | Englisch | 2017 | Springer Singapore | EAN 9789811049460 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 109301658
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Competition-Based Neural Networks with Robotic Applications (SpringerBriefs in Applied Sciences and Technology)
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