STABILITY OF ALMOST PERIODIC SOLUTION FOR BAM NEURAL NETWORKS WITH DELAYS

摘要：

This paper presents a sufficient condition for the global asymptotic stability of the equilibrium point for bidirectional associative memory (BAM) neural networks with variable coefficients. The results impose constraint conditions on the network parameters of neural system independently of variable coefficients,and they are applicable to all bounded continuous non-monotonic neuron activation functions.

关键词： BAM stability variable coefficients neural networks

作者: BAO-ZHU ZHAO JIE-HONG XU QING ZHANG

作者单位: Foundation department Sichuan TOP Vocational Institute of Information Technology Chengdu,China

会议类型: 国际会议

会议名称: 2012 International Conference on Computer Science and Electronic Engineering(2012 IEEE计算机科学与电子工程国际会议 ICCSEE 2012)

会议地点: 杭州

会议语种:英文

页码: 494-497

在线出版日期: 2012-03-23（万方平台首次上网日期，不代表论文的发表时间）