%0 Journal Article
%T RBFNN algorithm based on hybrid hierarchy genetic algorithm and its application<br>基于混合递阶遗传算法的径向基神经网络学习算法及其应用
%A SHI Hong-rui
%A LIU Yong
%A LIU Bao-kun
%A LI Guang-quan
%A <br>石红端
%A 刘 勇
%A 刘宝坤
%A 李光泉
%J 控制理论与应用
%D 2002
%I 
%X Based on the study of RBFNN (radial basis function neural network) training algorithm and genetic algorithm, a new RBFNN training algorithm-hybrid hierarchy genetic algorithm is introduced by combining hierarchy genetic algorithm and least-square method. The hybrid algorithm greatly increases the training speed while is still able to determine the structure and parameters of the RBFNN from sample data. The new training algorithm is used to identify and predict M-G chaos time series, and the simulation gives staisfied result.
%K radial basis function neural network
%K hybrid hierarchy genetic algorithms
%K Chaos time series<br>径向基神经网络
%K 混合递阶遗传算法
%K 混沌时间序列
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=25FC8E0F6764D27A&yid=C3ACC247184A22C1&vid=2A8D03AD8076A2E3&iid=E158A972A605785F&sid=821800203AD09E7B&eid=039DCCB9394D9766&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=16&reference_num=12