关键词: 神经网络, 径向基函数, 国内生产总值, 预测模型

Abstract: Aimed at the precision of country economy forecasting，Radial Basis Function（RBF） neural network is applied in the field of the country economic forecasting.Double-layers neural network architecture is constructed so that framework and parameters are determined by learning and training.Ultimately，RBF neural network forecasting model is established.Compared with the BP neural network model by forecasting，the results show that the RBFNN（Radial Basis Function Neural Network）’s forecasting precision and generalization ability is more superior to BP’s.Besides，a problem-solving idea and method for the economic forecasting work is provided.

Key words: neural network, Radial Basis Function（RBF）, Gross Domestic Product（GDP）, forecasting model