摘要
:通过对径向基函数 (RBF)网络训练过程的分析 ,结合偏最小二乘回归 ,提出了一种新的网络训练方法 .实例研究表明 。
The partial least square regression was introduced to train the radial basis function(RBF) network. Theoretical analysis and case study show this method is effective to improve the performance of RBF network.
出处
《武汉水利电力大学学报》
CSCD
2000年第2期80-84,共5页
Engineering Journal of Wuhan University
关键词
径向基函数
偏最小二乘回归
人工神经网络
radial basis function
partial least square regression
artificial neural network
generalization performance