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....

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Zhou, Wuneng (Συγγραφέας), Yang, Jun (Συγγραφέας), Zhou, Liuwei (Συγγραφέας), Tong, Dongbing (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2016.
Έκδοση:1st ed. 2016.
Σειρά:Studies in Systems, Decision and Control, 35
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Zhou, Wuneng.  |e author. 
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 2198-4182 ;  |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 Engineering. 
650 0 |a Neural networks (Computer science). 
650 0 |a Computational intelligence. 
650 0 |a Control engineering. 
650 1 4 |a Engineering. 
650 2 4 |a Control. 
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. 
700 1 |a Zhou, Liuwei.  |e author. 
700 1 |a Tong, Dongbing.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783662478325 
830 0 |a Studies in Systems, Decision and Control,  |x 2198-4182 ;  |v 35 
856 4 0 |u http://dx.doi.org/10.1007/978-3-662-47833-2  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)