带正弦函数扰动的小波混沌神经网络研究  

Research on wavelet chaotic neural network with disturbance of sine function

作　　者：徐耀群[1] 郑鑫 刘健[1] 

机构地区：[1]哈尔滨商业大学系统工程研究所,哈尔滨150028 [2]哈尔滨工程大学数学系,哈尔滨150001

出　　处：《哈尔滨商业大学学报（自然科学版）》2009年第2期169-173,共5页Journal of Harbin University of Commerce：Natural Sciences Edition

基　　金：黑龙江省自然科学基金(F200610);黑龙江省高校新世纪优秀人才培养计划资助项目(1153-NCET-008);黑龙江省教育厅科学技术项目(10531074)

摘　　要：对小波混沌神经网络的内部状态进行改进,引入了三角函数扰动,提出了一种新型的带三角函数扰动的小波混沌神经网络模型,并把它应用到函数优化和组合优化问题中.仿真结果表明,在控制适当的扰动系数时,带三角函数扰动的小波混沌神经网络能有效地解决函数优化问题和组合优化问题,体现了小波混沌神经网络有很强的鲁棒性和抗干扰能力.This paper is concerned with the improvement of its internal state for wavelet chaotic neural network by adding the disturbance of sine function. A new type of wavelet chaotic neural network model with disturbance of sine function is presented. It is applied in the function and combinatorial optimization problems. The simulation results show that the chaotic neural network with disturbance of sine function can solve function and combinatorial optimization problems effectively, if the disturbance coefficient is controlled properly. Therefore the very strong robustness and anti-interference ability are embodied in wavelet chaotic neural network.

关 键 词：小波混沌神经网络 正弦函数扰动 TSP 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]