Absolutely Exponential Stability of BAM Neural Networks with Continuously Distributed Delays

摘要：

Bidirectional associated memory (BAM) models are two-layer heteroassociative networks. This paper is devoted to the investigation of the absolute exponential stability for BAM neural networks with continuously distributed signal transmission delays along the axon of a neuron, by using fixed point method and new analysis techniques. Some novel criteria are obtained for checking the equilibrium point for BAM networks with distributed delays, in which the activation functions only need to be partially Lipschitz continuous,but not bounded or differentiable.

作者: Yonggui Kao Cunchen Gao Lu Wu

作者单位: College of Information Science and Engineering,Ocean University of China Qingdao, 266071, China Department of Mathematics Ocean University of China Qingdao, 266071, P.R. China

会议类型: 国际会议

会议名称: 第三届国际脉冲动力系统及应用学术会议

会议地点: 青岛

会议语种:英文

在线出版日期: 2006-07-21（万方平台首次上网日期，不代表论文的发表时间）