An Improved CBAM Model Based on Aihara Neuron

摘要：

In this paper we design a Chaos Bidirectional Associative Memory (CBAM) network model based on Aihara chaos neuron for its sensitivity to noise. It includes an inside associative memory construct on its every layer. The simulation shows that the model improves the anti-noise ability of the BAM effectively.

关键词： CBAM chaos neural network

作者: Liu Ling Zhang Xing-hui Liang Wei

作者单位: School of Information Technology Engineering Tianjin University of Technology and Education,TUTE Tianjin, China 30022

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 534-536

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）