| 书目名称 | Stability and Synchronization Control of Stochastic Neural Networks |
| 编辑 | Wuneng Zhou,Jun Yang,Dongbing Tong |
| 视频video | |
| 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 |
| 丛书名称 | Studies in Systems, Decision and Control |
| 图书封面 |  |
| 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 |
| 关键词 | 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 |
发表于 2025-3-21 17:59:09
