| Nonlinear Dynamics and Stability of Neural Networks with Delay-Time |
| |
| 引用本文： | L. C. Jiao,member,IEEE,and Zheng Bao,Senior member,IEEECenter for Neural Networks and Institute of Elec. Eng,Xidian University,Xian 710071,China. Nonlinear Dynamics and Stability of Neural Networks with Delay-Time[J]. 系统工程与电子技术(英文版), 1992, 0(2) |
| |
| 作者姓名： | L. C. Jiao member IEEE and Zheng Bao Senior member IEEECenter for Neural Networks and Institute of Elec. Eng Xidian University Xian 710071 China |
| |
| 作者单位： | L. C. Jiao，member，IEEE，and Zheng Bao，Senior member，IEEECenter for Neural Networks and Institute of Elec. Eng，Xidian University，Xian 710071，China |
| |
| 摘 要： | In this paper we study the dynamic properties and stabilities of neural networks with delay-time (which includes the time-varying case) by differential inequalities and Lyapunov function approaches. The criteria of connective stability, robust stability, Lyapunov stability, asymptotic atability, exponential stability and Lagrange stability of neural networks with delay-time are established, and the results obtained are very useful for the design, implementation and application of adaptive learning neural networks.
|
Nonlinear Dynamics and Stability of Neural Networks with Delay-Time |
| |
| L. C. Jiao,member,IEEE,and Zheng Bao,Senior member,IEEECenter for Neural Networks and Institute of Elec. Eng,Xidian University,Xian ,China. Nonlinear Dynamics and Stability of Neural Networks with Delay-Time[J]. Journal of Systems Engineering and Electronics, 1992, 0(2) |
| |
| Authors: | L. C. Jiao member IEEE and Zheng Bao Senior member IEEECenter for Neural Networks Institute of Elec. Eng Xidian University Xian China |
| |
| Affiliation: | L. C. Jiao,member,IEEE,and Zheng Bao,Senior member,IEEECenter for Neural Networks and Institute of Elec. Eng,Xidian University,Xian 710071,China |
| |
| Abstract: | In this paper we study the dynamic properties and stabilities of neural networks with delay-time (which includes the time-varying case) by differential inequalities and Lyapunov function approaches. The criteria of connective stability, robust stability, Lyapunov stability, asymptotic atability, exponential stability and Lagrange stability of neural networks with delay-time are established, and the results obtained are very useful for the design, implementation and application of adaptive learning neural networks. |
| |
| Keywords: | Nonlinear dynamics Stability Neural network. |
| 本文献已被 CNKI 等数据库收录！ |
|
