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Stability and synchronization contro...

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Stability and synchronization control of stochastic neural networks[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.32
書名/作者:	Stability and synchronization control of stochastic neural networks/ by Wuneng Zhou ... [et al.].
其他作者:	Zhou, Wuneng.
出版者:	Berlin, Heidelberg : : Springer Berlin Heidelberg :, 2016.
面頁冊數:	xvi, 357 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Neural networks (Computer science) - Mathematical models.
標題:	Engineering.
標題:	Control.
標題:	Mathematical Models of Cognitive Processes and Neural Networks.
標題:	Computational Intelligence.
ISBN:	9783662478332
ISBN:	9783662478325
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-662-47833-2

Stability and synchronization control of stochastic neural networks[electronic resource] /
Stability and synchronization control of stochastic neural networks[electronic resource] /by Wuneng Zhou ... [et al.]. - Berlin, Heidelberg :Springer Berlin Heidelberg :2016. - xvi, 357 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v.352198-4182 ;. - Studies in systems, decision and control ;v.7..

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.

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.

ISBN: 9783662478332

Standard No.: 10.1007/978-3-662-47833-2doiSubjects--Topical Terms:

602391
Neural networks (Computer science)
--Mathematical models.

LC Class. No.: QA76.87

Dewey Class. No.: 006.32

Stability and synchronization control of stochastic neural networks[electronic resource] /
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245 0 0 $a Stability and synchronization control of stochastic neural networks $h [electronic resource] / $c by Wuneng Zhou ... [et al.].
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490 1 $a Studies in systems, decision and control, $x 2198-4182 ; $v 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.
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650 1 4 $a Engineering. $3 372756
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650 2 4 $a Mathematical Models of Cognitive Processes and Neural Networks. $3 590938
650 2 4 $a Computational Intelligence. $3 463962
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