| 含时滞的双向联想记忆神经网络的全局吸引性和全局指数稳定性 |
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| 引用本文： | 董彪,蒋自国,吴文权. 含时滞的双向联想记忆神经网络的全局吸引性和全局指数稳定性[J]. 西南民族学院学报(自然科学版), 2007, 33(4): 750-755 |
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| 作者姓名： | 董彪 蒋自国 吴文权 |
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| 作者单位： | 阿坝师范高等专科学校数学系 四川汶川623000 |
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| 基金项目： | 四川省教育厅自然科学科研基金项目（2006C056）. |
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| 摘 要： | 本文研究了具有时滞的双向联想记忆神经网络模型,在非线性神经元激励函数是Lipschitz连续的条件下,通过构造适当的泛函,得到了该系统的平衡点是全局吸引和全局指数稳定.
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| 关 键 词： | 时滞 双向联想记忆神经网络 全局吸引 全局指数稳定 Lipschitz条件 |
| 文章编号： | 1003-2843（2007）04-0750-06 |
| 收稿时间： | 2007-03-21 |
| 修稿时间： | 2007-03-21 |
Global attractivity and global exponential stability for delayed bidirectional associate memory neural networks |
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| DONG Biao,JIANG Zi-guo,WU Wen-quan. Global attractivity and global exponential stability for delayed bidirectional associate memory neural networks[J]. Journal of Southwest Nationalities College(Natural Science Edition), 2007, 33(4): 750-755 |
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| Authors: | DONG Biao JIANG Zi-guo WU Wen-quan |
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| Abstract: | In the paper, the global exponential stability and global attractivity are studied for delayed bidirectional associate memory neural networks by constructing suitable Liapunov function , under the hypothesis that the nonlinear neural active fanctions are Lipschtion continuous. |
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| Keywords: | delaying bidirectional associate memory neural network global exponential stability global attractivity lipschitz condition |
| 本文献已被 CNKI 维普 等数据库收录！ |
