Research on prediction of RMB exchange rate based on improved RBF neural network
Haiyan Luo · Computer Engineering and Applications Journal · 2010
In view of considerable data prediction errors of approximate linear time series data in partition algorithm of RBF neural network,a new improved algorithm is presented on the basis of original RBF neural network.This improved algorithm takes central value by each section as a basis,optimizes the determination of values of central point of original algorithm of radial base function and improves accuracy of data prediction of approximate linear time series data.Prediction experiment of exchange rate of American Dollar for RMB in recent two years has proved that the prediction accuracy of this improved algorithm is comparatively higher than that of original algorithm.