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

被引:27
作者
石红瑞
刘勇
刘宝坤
李光泉
机构
[1] 天津大学自动化学院
[2] 天津大学管理学院 天津
[3] 天津
关键词
径向基神经网络; 混合递阶遗传算法; 混沌时间序列;
D O I
暂无
中图分类号
TP183 [人工神经网络与计算];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
在研究径向基神经网络学习算法的基础上 ,提出了一种新型的径向基神经网络学习算法———混合递阶遗传算法 .该算法将递阶遗传算法和最小二乘法的优点结合在一起 ,能够同时确定径向基神经网络的结构和参数 ,并具有较高的学习效率 .采用基于混合递阶遗传算法的径向基神经网络对混沌时间序列学习和预测 ,取得了较好的效果 .
引用
收藏
页码:627 / 630
页数:4
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