Competition-Based Neural Networks with Robotic Applications - Couverture souple

Li, Shuai; Jin, Long

Couverture souple

ISBN 10 : 9811049467 ISBN 13 : 9789811049460

Editeur : Springer, 2017

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.

Détails de l'édition

• Éditeur: Springer
• Date d'édition: 2017
• Langue: anglais
• ISBN 10: 9811049467
• ISBN 13: 9789811049460
• Reliure: Broché
• Numéro d'édition: 1
• Nombre de pages: 140
• Coordonnées du fabricant: non disponible
• Personne responsable: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Allemagne