平滑预测法通常包括移动平均法和指数平滑法两种。
在预测过程中,指数平滑预测法的预测效果十分理想。
And the forecasting effect of the Exponential Smoothing Estimation Method is very well.
具体如回归预测法、指数平滑法、灰色模型预测法、BP神经网络法、RBF神经网络法。
Such as the return of specific prediction method, smoothing index, grey model prediction, BP neural network, RBF neural network .
同时利用改进的季节性指数平滑法完成了对郑州市城市用水量的预测。
Using the improved seasonal exponential smoothing to finish the prediction of water consumption of Zhengzhou at the same time.
应用推荐