| Home | Organizers | Proceedings Editors | Proceedings Contributors | Search | | ||
|
|
|||
|
||||
|
|
||||
| Title: | GLOBAL ASYMPTOTIC STABILITY AND GLOBAL EXPONENTIAL STABILITY OF HOPFIELD NEURAL NETWORKS
Foundation item: supported by the National Natural Science Foundation of China (90208003), the Science and Technology Research Foundation of Education Ministry (02065). |
|
| DOI No: | 10.1142/9789812702654_0162 | |
| Source: | WAVELET ANALYSIS AND ITS APPLICATIONS, AND ACTIVE MEDIA TECHNOLOGY (pp 1081-1087) | |
| Author(s): | SHOU-MING ZHONG
School of Applied Mathematics, University of Electronic Science and Technology of China, Chengdu 610054, PR China International Centre on for Wavelet Analysis and Its Applications, Logistical Engineering University, Chongqing 400016, PR China JIN-XIANG YANG School of Applied Mathematics, University of Electronic Science and Technology of China, Chengdu 610054, PR China International Centre on for Wavelet Analysis and Its Applications, Logistical Engineering University, Chongqing 400016, PR China KE-YU YAN School of Applied Mathematics, University of Electronic Science and Technology of China, Chengdu 610054, PR China International Centre on for Wavelet Analysis and Its Applications, Logistical Engineering University, Chongqing 400016, PR China JIAN-PING LI School of Applied Mathematics, University of Electronic Science and Technology of China, Chengdu 610054, PR China International Centre on for Wavelet Analysis and Its Applications, Logistical Engineering University, Chongqing 400016, PR China |
|
| Abstract: | In this paper, we study a kind of Hopfield neural network, and present new sufficient conditions on Global Asymptotic Stability (GAS) and Global Exponential Stability (GES) by constructing the Liapunov function and utilizing the technique of inequality analysis, as well as improve upon the existing results. | |
| Full Text: | View full text in PDF format (169KB) | |
| TOC: | Back to Table of Contents | |
|
||