| BAM神经网络的稳定性分析 |
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| 引用本文： | 王清清,钟守铭.BAM神经网络的稳定性分析[J].汕头大学学报(自然科学版),2014(4):24-30. |
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| 作者姓名： | 王清清 钟守铭 |
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| 作者单位： | 电子科技大学数学科学学院,四川成都611731 |
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| 基金项目： | 国家重点基础研究发展计划（2010CB32501） |
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| 摘 要： | 本文研究了BAM神经网络的稳定性问题,通过构造新的Lyapunov泛函,给出了此类系统平衡点渐近稳定的充分条件,并举例说明了结果的有效性和保守性.该充分条件对丰富和完善了神经网络的稳定性理论体系,具有积极的意义.
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| 关 键 词： | BAM神经网络 稳定性 时变时滞 Lyapunov泛函 |
Stability Criterion for BAM Neural Networks with Time-Varying Delays |
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| WANG Qingqing,ZHONG Shouming.Stability Criterion for BAM Neural Networks with Time-Varying Delays[J].Journal of Shantou University(Natural Science Edition),2014(4):24-30. |
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| Authors: | WANG Qingqing ZHONG Shouming |
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| Institution: | (Department of Mathematics, University of Electronic Science and Technology Chengdu 611731, Sichuan, China) |
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| Abstract: | In this paper, the problem of stability for BAM neural networks with timevarying delays is investigated. By constructing new Lyapunov functions, a new sufficient criteria ensuring stability of BAM neural networks is obtained. Finally, the validity of the novel criteria was shown in an example. The proposed criteria have a vital significance for enriching and improving the stability theory of neural networks |
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| Keywords: | BAM neural networks stability time-varying delays Lyapunov functions |
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