基于径向基函数网络的经济时序预测模型

FORECASTING MODEL OF THE ECONOMICAL TIME SERIES BASED ON RADIAL BASIS FUNCATION NETWORK

介绍了径向基函数(RBF)神经网络的结构和特点。给出了其在经济时间序列预测中的应用,较为系统地阐述了RBF神经网络在经济预测中应用的步骤和过程。与BP模型相比该模型在预测精度和收敛速度方面具有显著的优点。

The structure and features of radial basis function (RBF) network are introduced. The application of the RBF neural network to economical forecasting is proposed and the procedure is illustrated. In comparison with BP neural network, RBF network has considerable advantages in prediction accuracy and convergence rate.