The system simulation based on RBF neural network

In recent years, with the development of intelligent control theory, neural network theory is applied in various fields. It expands the concept of the calculating content so that the neural computation and evolutionary computation become new subjects. In this paper, RBF neural networks is mainly studied, the recursive least squares method is used to solute the question and several typical input and output control systems are simulated, the error of produced by RBF neural network is obtained and the error factors are analyzed and the system is in the optimal state.