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| 离散时延双神经元网络的渐近稳定性 | |
| 引用本文： | 李绍文 李绍荣 廖晓峰. 离散时延双神经元网络的渐近稳定性[J]. 计算机科学, 2003, 30(12): 113-115 |
| 作者姓名： | 李绍文 李绍荣 廖晓峰 |
| 作者单位： | 1. 西南财经大学数学系,成都,610074;电子科技大学电子工程学院,成都,610054 2. 电子科技大学光电信息学院,成都,610054 3. 重庆大学计算机学院,重庆,400030 |
| 基金项目： | 国家自然科学基金(60271019)，教育部博士点基金(20020611007)，重庆科委应用基础研究(7370) |
| 摘 要： | New sufficient conditions for the asymptotic stability of a two-neuron network with different time delays are derived. These conditions lead to delay-dependent and delay-independent asymptotic stability. Our results are shown to be less conservative and restrictive than those reported in the literature. Some examples are given to illustrate the correctness of our results. |
| 关 键 词： | 离散时延双神经元网络 渐近稳定性 神经网络 人工神经网络 |
Asymptotic Stability Criteria for a Two-Neuron Network with Different Time Delays |
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| LI Shao-Wen LI Shao-Rong LIAO Xiao-Feng. Asymptotic Stability Criteria for a Two-Neuron Network with Different Time Delays[J]. Computer Science, 2003, 30(12): 113-115 | |
| Authors: | LI Shao-Wen LI Shao-Rong LIAO Xiao-Feng |
| Abstract: | New sufficient conditions for the asymptotic stability of a two-neuron network with different time delays are derived. These conditions lead to delay-dependent and delay-independent asymptotic stability. Our results are shown to be less conservative and restrictive than those reported in the literature. Some examples are given to illustrate the correctness of our results. |
| Keywords: | Neural networks Time delay Asymptotic stability Nyquist criterion |
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