The OLS Algorithm Rased on Energy Distribution for RBF Neural Network
基于能量分布的RBF神经网络OLS算法

: Due to its structural simplicity, the radial basis function (RBF)neural network has been widely used for approximation and classification. The role of hidden layer neurons of a RBF neural network can be interpreted as a function which maps input patterns from a nonlinear separable space to a linear separable space. In the present study, we use OLS algorithm based on energy distribution to train RBF. The experiment results indicate that the performance of the proposed method is better than that of standard OLS.