计算机技术与发展2011，Vol.21Issue(8)：93-96,100,5.
小波混沌神经网络的研究与应用
Research and Application of Wavelet Chaotic Neural Network
摘要
Abstract
Chaotic neural network has been proved to be a valid tool for solving combinational optimization problems. But the single factor of the annealing cannot meet in the terms of both accuracy and speed requirements. So to change the traditional way to improve the search of chaotic speed and accuracy becomes more important. This Sigmoid function into the wavelet function can solve the problem, through the Sigmoid function into a Mexican hat wavelet function, and the introduction of Shannon wavelet and Sigmoid function and composition of additional non-monotonic activation function of these two methods to improve the efficiency of search and accuracy. And use these two new models to simulate two kinds of optimization problems. Simulation results show that the wavelet chaotic neural network optimal solution in the search speed and accuracy are much better than the conventional chaotic neural network. Show that the introduction of the wavelet function to chaotic neural network is a great potential.关键词
小波混沌神经网络/Mexican hat小波函数/非单调激励函数/Shannon小波Key words
wavelet chaotic neural network/ Mexican hat wavelet function/ non-monotonous activation function/Shannon wavelet分类
信息技术与安全科学引用本文复制引用
丁华福,宋宇航,唐远新,石福斌..小波混沌神经网络的研究与应用[J].计算机技术与发展,2011,21(8):93-96,100,5.基金项目
国家自然科学基金(60736014) （60736014）
黑龙江省教育科学技术研究项目(11531049) （11531049）
