1) Factor Weighting Smoothing Prediction
指数加权平滑预测
3) exponential smoothing forecasting
指数平滑预测
1.
According to the non-linear increasing characteristics of the container throughput of port, triple exponential smoothing forecasting model, grey system forecasting model and BP artificial neural network forecasting model are established respectively.
根据港口集装箱吞吐量非线性增长等特点,建立了三次指数平滑预测模型、灰色系统预测模型及BP神经网络预测模型等单项预测模型。
4) index smoothing forecasting method
指数平滑预测法
5) MCEWMA
指数加权滑动平均
1.
Based on EWMA,the MCEWMA control chart is proposed to monitor tool wear process,i.
为了有效地利用控制图技术,用指数加权滑动平均方法,对由于刀具磨损导致轴尺寸精度呈线性趋势变化进行预测,提出了应用MCEWMA控制图监视刀具磨损过程。
6) exponent weighted gliding average model
指数加权平滑模型
1.
The exponent weighted gliding average model is improved to fit in with the forecasting of the parameters with various changing law.
对指数加权平滑模型进行了改进,使之能适用于多种不同变化规律的参数的预报。
补充资料：经验指数预测法(见发生量预测)
经验指数预测法(见发生量预测)
经验指数预测法见发生量预测。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条