Stability and Synchronization Control of Stochastic Neural Networks

This book reports on the latest findings in the study of Stochastic Neural Networks (SNN). The book collects the novel model of the disturbance driven by Levy process, the research method of M-matrix, and the adaptive control method of the SNN in the context of stability and synchronization control....

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Zhou, Wuneng (Autor), Yang, Jun (Autor), Zhou, Liuwei (Autor), Tong, Dongbing (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Studies in Systems, Decision and Control, 35
Temas:
Control engineering.
Neural networks (Computer science) .
Computational intelligence.
Control and Systems Theory.
Mathematical Models of Cognitive Processes and Neural Networks.
Computational Intelligence.
Acceso en línea:Texto Completo

MARC

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100 1 |a Zhou, Wuneng.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Stability and Synchronization Control of Stochastic Neural Networks  |h [electronic resource] /  |c by Wuneng Zhou, Jun Yang, Liuwei Zhou, Dongbing Tong. 
250 |a 1st ed. 2016. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2016. 
300 |a XVI, 357 p. 82 illus., 80 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Studies in Systems, Decision and Control,  |x 2198-4190 ;  |v 35 
505 0 |a Relative Mathematic Foundation -- Asymptotical and Exponential Stability and Synchronization for NN -- Robust Stability and Synchronization for NN -- Adaptive Stability and Synchronization for NN -- Stability and Synchronization for Neutral-type NN -- Stability and Synchronization for NN with Levy Noise -- Some Applications to Finance Based-on NN. 
520 |a This book reports on the latest findings in the study of Stochastic Neural Networks (SNN). The book collects the novel model of the disturbance driven by Levy process, the research method of M-matrix, and the adaptive control method of the SNN in the context of stability and synchronization control. The book will be of interest to university researchers, graduate students in control science and engineering and neural networks who wish to learn the core principles, methods, algorithms and applications of SNN. 
650 0 |a Control engineering. 
650 0 |a Neural networks (Computer science) . 
650 0 |a Computational intelligence. 
650 1 4 |a Control and Systems Theory. 
650 2 4 |a Mathematical Models of Cognitive Processes and Neural Networks. 
650 2 4 |a Computational Intelligence. 
700 1 |a Yang, Jun.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Zhou, Liuwei.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Tong, Dongbing.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783662478325 
776 0 8 |i Printed edition:  |z 9783662478349 
776 0 8 |i Printed edition:  |z 9783662517161 
830 0 |a Studies in Systems, Decision and Control,  |x 2198-4190 ;  |v 35 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-3-662-47833-2  |z Texto Completo 
912 |a ZDB-2-ENG 
912 |a ZDB-2-SXE 
950 |a Engineering (SpringerNature-11647) 
950 |a Engineering (R0) (SpringerNature-43712) 

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