一种改进的基于混沌搜索策略的小波神经网络遗传学习算法

An Improved Genetic Algorithm of Wavelet Neural Network Based on Chaotic Searching

讨论了遗传算法的优点及存在的局限性.通过引进混沌搜索策略,对遗传算法的初始种群进行混沌搜索,筛选出优化种群.并将遗传算法作为小波神经网络的学习算法,再次运用混沌搜索策略,对学习过程进行优化.改进后的遗传学习算法结合小波神经网络应用于混沌时间序列预测,实验取得了较好的效果.

The merits and limitation of genetic algorithm are discussed. Chaotic searching is introduced to improve the initial community and it is reintroduced to optimized genetic process of genetic algorithm which is taken as study algorithm of wavelet neural network. Improved genetic study algorithm is applied to chaotic time series prediction. Better result is obtained based on improved wavelet neural network.