| 書目名稱 | Stability and Synchronization Control of Stochastic Neural Networks |
| 編輯 | Wuneng Zhou,Jun Yang,Dongbing Tong |
| 視頻video | http://file.papertrans.cn/876/875318/875318.mp4 |
| 概述 | Introduces for the first time the stochastic disturbance driven by Levy process in modeling stochastic neural networks.Applies the M-matrix method to analyze and synthesize the synchronization criteri |
| 叢書名稱 | Studies in Systems, Decision and Control |
| 圖書封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2016 |
| 關鍵詞 | Adaptive control; M-matrix method; Markovian switching; Neural networks; Stability; Stochastic disturbanc |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-662-47833-2 |
| isbn_softcover | 978-3-662-51716-1 |
| isbn_ebook | 978-3-662-47833-2Series ISSN 2198-4182 Series E-ISSN 2198-4190 |
| issn_series | 2198-4182 |
| copyright | Springer-Verlag Berlin Heidelberg 2016 |
|Archiver|手機版|小黑屋|
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