带白噪声的小波混沌神经网络及其应用  

Study on wavelet chaotic neural network with white noise and its applications

作　　者：刘健[1] 范洪霞[1] 焦艳会[1] 徐耀群[1] 秦峰[1] 

机构地区：[1]哈尔滨商业大学基础科学学院,哈尔滨150028

出　　处：《哈尔滨商业大学学报（自然科学版）》2011年第2期177-181,共5页Journal of Harbin University of Commerce：Natural Sciences Edition

基　　金：黑龙江省自然科学基金(F201035);黑龙江省教育厅科学技术一般项目(11531074)

摘　　要：为研究混沌神经网络抗噪声的能力,在小波混沌神经网络模型中引入了噪声函数,研究了带白噪声的小波混沌神经网络模型,给出了该混沌神经元的倒分岔图和Lyapunov指数图,分析了其动力学特性.基于该混沌神经元模型,构造了带白噪声的小波混沌神经网络,并将其应用于函数优化和旅行商问题(TSP),仿真结果表明,只要适当调节噪声系数,系统仍将具有良好的优化能力,噪声并不一定都是对系统有害的.In order to study the chaotic neural network of anti-noise capability,noise function were introduced in wavelet chaotic neural network model in this paper,the white noise with the wavelet chaotic neural network model were also discussed,the chaos of the neurons would bifurcation diagram and Lyapunov index Map were given.Based on the chaotic neuron model,constructed with the white noise of the wavelet chaotic neural network,and applies it to function and optimize the traveling salesman problem（TSP）,simulation results showed that as long as the proper regulation of noise figure,the system will continue to have good ability to optimize the noise of the system were not necessarily harmful.

关 键 词：白噪声 混沌神经网络 小波函数 函数优化 TSP 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]