径向基神经网络辨识非线性系统的改进算法

Improved Algorithm of Nonlinear System Identification Using RBF Neural Network

利用神经网络的非线性映射特性,将神经网络应用于非线性系统辨识。利用径向基神经网络来辨识非线性系统,并对两种不同RBF神经网络辨识算法进行比较。仿真结果表明,改进的算法具有学习速度快,辨识精度高的特点。

Using the nonlinear-mapping features of neural network, a method for nonlinear system identification using neural network is presented in this paper. It uses RBF neural network to identify and eompares two different algorithms of RBF neural network. The simulation results indicate that the new algorithm of nonlinear system identification is fast to learn and precise to identify.