Stability Analysis of Dynamic Systems in Neural Network

摘要：

In this paper, we discuss stability analysis of various dynamical systems in neural network field. We introduce new results on global stability for PCA/MCA algorithms. In particular, we discuss stability of algorithms on manifolds. We also introduce some recent new development on global convergence and local stability behavior of Hopfield (cellular) neural networks with or without delay.

关键词： Principal component extraction Minor component extraction Stability of delayed dynamical system Neural Networks Glogal exponential convergence.

作者: Tianping Chen Shun-ichi Amari

作者单位: Lab of Nonlinear Mathematical Science Fudan University Shanghai 200433 P.R. China Brain Science Institute Riken Hirosawa 2-1 Wako-shi, Saitama 351-0198,Japan

会议类型: 国际会议

会议名称: 8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)

会议地点: 上海

会议语种:英文

页码: 1037-1043

在线出版日期: 2001-11-14（万方平台首次上网日期，不代表论文的发表时间）