Combination Forecasting for Financial Revenue
Kai Li · Journal of Tianjin University Science and Technology · 2003
Finance revenue is a vital tool for macroscopic regulation and control and is influenced by variety factors.In consideration multifactors effects,the combination forecasting is used to forecast the financial revenue.Two linear forecasting models including multivariate linearity regression and time series are firstly set up before a nonlinear model of BP neural network is established.Based on these three single models, a linearity altering weight combination forecasting model is put forward to study the financial revenue.