Recent Advances in Learning Automata - Couverture souple

Livre 268 sur 538: Studies in Computational Intelligence

Rezvanian, Alireza ; Saghiri, Ali Mohammad ; Vahidipour, Seyed Mehdi ; Esnaashari, Mehdi ; Meybodi, Mohammad Reza

9783319891828: Recent Advances in Learning Automata

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ISBN 10 : 3319891820 ISBN 13 : 9783319891828

Editeur : Springer, 2019

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Learning automata theory.- Cellular learning automata.- Learning automata for wireless sensor networks.- Learning automata for cognitive Peer-to-peer networks.- Learning automata for Complex Social Networks.- Adaptive petri net based on learning automata.- Summary and future directions.

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�diteur: Springer
Date d'�dition: 2019
Langue: anglais
ISBN 10: 3319891820
ISBN 13: 9783319891828
Reliure: Broch�
Nombre de pages: 480
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Recent Advances in Learning Automata (eng)

Rezvanian, Alireza

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ISBN 10 : 3319891820 ISBN 13 : 9783319891828

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Recent Advances in Learning Automata (Studies in Computational Intelligence, 754)

Rezvanian, Alireza; Saghiri, Ali Mohammad; Vahidipour, Seyed Mehdi; Esnaashari, Mehdi; Meybodi, Mohammad Reza

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Recent Advances in Learning Automata (Studies in Computational Intelligence, 754)

Rezvanian, Alireza; Saghiri, Ali Mohammad; Vahidipour, Seyed Mehdi; Esnaashari, Mehdi; Meybodi, Mohammad Reza

Edit� par Springer, 2019

ISBN 10 : 3319891820 ISBN 13 : 9783319891828

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Recent Advances in Learning Automata

Alireza Rezvanian

Edit� par Springer International Publishing Jun 2019, 2019

ISBN 10 : 3319891820 ISBN 13 : 9783319891828

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book collects recent theoretical advances and concrete applications of learning automata (LAs) in various areas of computer science, presenting a broad treatment of the computer science field in a survey style. Learning automata (LAs) have proven to be effective decision-making agents, especially within unknown stochastic environments. The book starts with a brief explanation of LAs and their baseline variations. It subsequently introduces readers to a number of recently developed, complex structures used to supplement LAs, and describes their steady-state behaviors. These complex structures have been developed because, by design, LAs are simple units used to perform simple tasks; their full potential can only be tapped when several interconnected LAs cooperate to produce a group synergy.In turn, the next part of the book highlights a range of LA-based applications in diverse computer science domains, from wireless sensor networks, to peer-to-peer networks, to complex social networks, and finally to Petri nets. The book accompanies the reader on a comprehensive journey, starting from basic concepts, continuing to recent theoretical findings, and ending in the applications of LAs in problems from numerous research domains. As such, the book offers a valuable resource for all computer engineers, scientists, and students, especially those whose work involves the reinforcement learning and artificial intelligence domains. 480 pp. Englisch. N� de r�f. du vendeur 9783319891828

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Recent Advances in Learning Automata

Alireza Rezvanian|Ali Mohammad Saghiri|Seyed Mehdi Vahidipour|Mehdi Esnaashari|Mohammad Reza Meybodi

Edit� par Springer International Publishing, 2019

ISBN 10 : 3319891820 ISBN 13 : 9783319891828

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Addresses key issues and topics related to learning automata theories, architectures, models, algorithms, and their applicationsPresents a broad treatment of the computer science field in a survey styleHighlights recent resea. N� de r�f. du vendeur 294884342

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Recent Advances in Learning Automata

Alireza Rezvanian

Edit� par Springer International Publishing, Springer International Publishing Jun 2019, 2019

ISBN 10 : 3319891820 ISBN 13 : 9783319891828

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Taschenbuch. Etat : Neu. Neuware -This book collects recent theoretical advances and concrete applications of learning automata (LAs) in various areas of computer science, presenting a broad treatment of the computer science field in a survey style. Learning automata (LAs) have proven to be effective decision-making agents, especially within unknown stochastic environments. The book starts with a brief explanation of LAs and their baseline variations. It subsequently introduces readers to a number of recently developed, complex structures used to supplement LAs, and describes their steady-state behaviors. These complex structures have been developed because, by design, LAs are simple units used to perform simple tasks; their full potential can only be tapped when several interconnected LAs cooperate to produce a group synergy.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 480 pp. Englisch. N� de r�f. du vendeur 9783319891828

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Recent Advances in Learning Automata

Rezvanian, Alireza/ Saghiri, Ali Mohammad/ Vahidipour, Seyed Mehdi/ Esnaashari, Mehdi/ Meybodi, Mohammad Reza

Edit� par Springer-Verlag New York Inc, 2019

ISBN 10 : 3319891820 ISBN 13 : 9783319891828

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Paperback. Etat : Brand New. reprint edition. 480 pages. 9.50x6.50x1.25 inches. In Stock. N� de r�f. du vendeur x-3319891820

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Recent Advances in Learning Automata

Alireza Rezvanian

Edit� par Springer International Publishing, Springer International Publishing, 2019

ISBN 10 : 3319891820 ISBN 13 : 9783319891828

Neuf Taschenbuch

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book collects recent theoretical advances and concrete applications of learning automata (LAs) in various areas of computer science, presenting a broad treatment of the computer science field in a survey style. Learning automata (LAs) have proven to be effective decision-making agents, especially within unknown stochastic environments. The book starts with a brief explanation of LAs and their baseline variations. It subsequently introduces readers to a number of recently developed, complex structures used to supplement LAs, and describes their steady-state behaviors. These complex structures have been developed because, by design, LAs are simple units used to perform simple tasks; their full potential can only be tapped when several interconnected LAs cooperate to produce a group synergy.In turn, the next part of the book highlights a range of LA-based applications in diverse computer science domains, from wireless sensor networks, to peer-to-peer networks, to complex social networks, and finally to Petri nets. The book accompanies the reader on a comprehensive journey, starting from basic concepts, continuing to recent theoretical findings, and ending in the applications of LAs in problems from numerous research domains. As such, the book offers a valuable resource for all computer engineers, scientists, and students, especially those whose work involves the reinforcement learning and artificial intelligence domains. N� de r�f. du vendeur 9783319891828

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