By the use of exponential smoothing, I forecast the requirement country.
运用指数平滑法对我国能源进行了需求预测。
This new conception is also suitable for other exponential smoothing models.
针对二次指数平滑模型的新构思对其它指数平滑模型同样适用。
This paper forecasted the future trend of THE using exponential smoothing method.
运用指数平滑法，预测山东省卫生总费用未来发展趋势。
And the forecasting effect of the Exponential Smoothing Estimation Method is very well.
在预测过程中，指数平滑预测法的预测效果十分理想。
However, two characters in the fuzzy exponential smoothing model have never been clearly discussed.
然而，模糊指数平滑模式有两个特性尚未被清楚的讨论。
Application of seasonal exponential smoothing method to groundwater level prediction is discussed herein.
本文讨论了季节性指数平滑法在地下水位预报中的应用。
The coefficient of exponential smoothing has been proved in the prediction of the coal output in our country.
并将优化后的指数平滑系数在我国煤炭产量的预测中得以验证。
So this new Combined Prediction Approach of Multivariate Auto-regressive and Exponential Smoothing is effective.
表明该组合预测模型是一种非常有效的预测新方法。
Quartic exponential smoothing method can follow the nonlinear trend of time series better and can also forecast better.
布朗单一参数四次指数平滑能更好地跟踪时序的非线性变化趋势，达到更好的短期预测效果。
So this new developed Combined Prediction Approach of the Fuzzy Auto-regressive and Exponential Smoothing is effective.
从而表明该组合预测模型是一种非常有效的预测新方法。
Additionally, a model of demand forecast, which bases on methods of least square and exponential smoothing, also be made.
还建立了基于最小二乘法曲线拟合与指数平滑法的需求量预测模型。
Using the improved seasonal exponential smoothing to finish the prediction of water consumption of Zhengzhou at the same time.
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。
Conclusion: The exponential smoothing method could be employed to forecast a time series of one dimension for cucumber downy disease.
结论：可以利用指数平滑法对霜霉病一维时间序列进行预测。
Regression analysis, grey-system and exponential smoothing method are in common use as forecasting methods of maritime accidents nowadays.
回归分析法、灰色系统模型法和指数平滑法是目前常用的水上交通事故预测方法。
The forecasting course has used mathematical approach to make science decisions such as correlation recurrence and exponential smoothing etc.
预测过程采用了相关回归、指数平滑等数学方法科学决策。
In this paper, the exponential smoothing method and the prediction process of the cubic exponential smoothing method are introduced in detail.
详细介绍了指数平滑法及三次指数平滑法的预测过程，应用此方法对实测资料进行了预计和比较。
According to the random linearity change trend of crude production rate, using the secondary exponential smoothing predicts the crude production rate.
根据油田原油产量为随机线性变化趋势，采用二次指数平滑方法进行预测。
Wang x, Cheng XW, Fang SS, et al. Application of exponential smoothing model in forecasting influenza incidence [J]. China Tropical Medicine, 2011, 11 (8) : 938-939.
(in Chinese)王昕，程小雯，房师松，等。指数平滑模型在流感样病例预测中的应用[J]。中国热带医学，2011,11 (8)：938—939。
Exponential smoothing, as a key branch of time series, is a typical forecasting and control model. Because the model have some merit characteristics and wide application.
而作为其重要分支之一的指数平滑法，因为操作简单、适用性强、性能优良、应用广泛而成为经典的预测与控制模型。
The forecasting results of the case study has proved that the adaptive control exponential smoothing forecasting model suits water demand forecast in irrigation districts.
实例预报结果表明，把自适应指数平滑预报模型应用于灌区需水量预报中是可行的。
The calculation result is that exponential smoothing is suitable to forecast the trend exceed the limits so as to find the early signs of civil aviation accidents or calamity.
计算结果表明，可采用指数平滑法预测超限事件的发生趋势，及时发现民航事故的早期征兆；
The model which combined Cobb-Douglas production function, multiple regression model and exponential smoothing model can improve the accuracy of fix and forecast by proper weighs.
通过赋予合理权重，将C-D生产函数模型、多元回归模型和指数平滑模型加权组合。
Firstly, the definition of exponential smoothing is presented. Then three models' characteristics are analyzed. How we choose these three models is based on these differences mainly.
首先，本文给出了三种指数平滑方法的定义，并分析了每种方法的特点，预测方法的选取主要取决于三种方法的差异性。
Prominent among the various techniques that can help to extrapolate past date into future trends are the following:time series, least squares method, exponential smoothing, regression and correlation.
由历史数据推测未来趋势的众多方法中较突出的有：时间序列法、最小平方法、指数平滑法、回归分析和相关分析。
Prominent among the various techniques that can help to extrapolate past date into future trends are the following:time series, least squares method, exponential smoothing, regression and correlation.
由历史数据推测未来趋势的众多方法中较突出的有：时间序列法、最小平方法、指数平滑法、回归分析和相关分析。
应用推荐