| 双向联想记忆神经网络的全局指数稳定性 |
| |
| 引用本文： | 高潮,周山雪. 双向联想记忆神经网络的全局指数稳定性[J]. 中山大学学报(自然科学版), 2002, 41(6): 14-17 |
| |
| 作者姓名： | 高潮 周山雪 |
| |
| 作者单位： | 1. 东莞理工学院电子工程系,广东,东莞,523106
2. 深圳职业技术学院电子工程系,广东,深圳,518055 |
| |
| 基金项目： | 广东省自然科学基金资助项目 (0 10 0 0 5 ) |
| |
| 摘 要： | 研究了带连续时延杂交双向联想记忆神经网络的全局指数稳定性 ,通过构造适当的Lyapunov泛函获得了与时延无关的充分条件且保证网络指数收敛到惟一稳定的平衡点 ,在证明过程中 ,并不要求突轴联结权的对称性和激活函数的单凋性与可微性 ,因此论文所推导的结果更具一般性。
|
| 关 键 词： | 双向联想记忆 神经网络 连续时延 全局指数稳定性 |
| 文章编号： | 0529-6579(2002)06-0014-04 |
| 修稿时间： | 2002-06-06 |
Global Exponential Stability in Hybrid Bi-directional Associative Memory Neural Networks |
| |
| GAO Chao ,ZHOU Shan_xue. Global Exponential Stability in Hybrid Bi-directional Associative Memory Neural Networks[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2002, 41(6): 14-17 |
| |
| Authors: | GAO Chao ZHOU Shan_xue |
| |
| Affiliation: | GAO Chao 1,ZHOU Shan_xue 2 |
| |
| Abstract: | The dynamical characteristics of hybrid bi_directional associative memory neural networks with continuous time delay are studied.Without assuming the symmetry of synaptic connection weights and the monotonicity and differentiability of activation functions,the Lyapunov functionals are constructed to derive delay_independent sufficient conditions under which the networks converge exponentially to the equilibria associated with temporally uniform external inputs to the networks. |
| |
| Keywords: | bi_directional associative memory neural networks continuous time delay global exponential stability |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
