Abstract:In this paper, fifteen kinds of ordinary functions were applied to select the nonlinear predictors. Coarse and fine selections were accepted. A nonlinear forecasting equation has been built. The results showed that the predictors had 390 kinds of formation and the effects of the nonlinear forecasting equation in this method were better than those of the linear equations.