Shannon Wavelet Chaotic Neural Network with Chaotic Noise

摘要：

Shannon Wavelet chaotic neural network with chaotic noise was presented, and the chaotic mechanism was introduced by the attenuation of the self-feedback connection weight. First, the figures of the reversed bifurcation and the maximal Lyapunov exponents of single neural unit were given. Second, the new model was applied to solve function optimizations. Finally, 10-city traveling salesman problem was given and simultaneously the effects of the value of the non-monotonous-function coefficient proportional to the monotonous-function coefficient in the model on solving the 10-city traveling salesman problem were discussed. The new model can solve the 10-city traveling salesman problem more effectively. Seen from the simulation results, the new model is more powerful than common chaotic neural network.

关键词： chaotic neural network Lyapunov ezponents Shannon wavelet traveling salesman problem

作者: Yao-qun Xu Jian Liu

作者单位: Institute of System Engineering, Harbin University of Commerce, 150028 Harbin, China

会议类型: 国际会议

会议名称: The Ninth Wuhan International Conference on E-Business(第九届武汉电子商务国际会议)

会议地点: 武汉

会议语种:英文

页码: 2133-2140

在线出版日期: 2010-05-29（万方平台首次上网日期，不代表论文的发表时间）