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1)  dynamic exponential smoothing algorithm
动态指数平滑算法
1.
In this paper a new forecasting method, the dynamic exponential smoothing algorithm is implemented, which is derived form the exponential smoothing algorithm.
提出一种新的预报算法———动态指数平滑算法,该算法是对传统的指数平滑算法的改进。
2)  exponential smoothing algorithm
指数平滑算法
1.
In this paper a new forecasting method, the dynamic exponential smoothing algorithm is implemented, which is derived form the exponential smoothing algorithm.
提出一种新的预报算法———动态指数平滑算法,该算法是对传统的指数平滑算法的改进。
3)  dynamic exponential smoothing
动态指数平滑
1.
Research and application of the campus network monitor-based dynamic exponential smoothing model
动态指数平滑模型在校园网络监控中的研究
4)  EWMA(exponential weighted moving average)algorithm
指数加权滑动平均值算法
5)  dynamic exponential smoothing model
动态指数平滑模型
6)  exponential smooth method
指数平滑法
1.
As compared with the traditional exponential smooth method, the improved one of this paper involves smaller and less complicated amount of calculation and computation but enjoys higher calculation accuracy, for the whole computation process can be done by means of a computer software known as MATLAB easily.
在对指数平滑法综合应用分析研究的基础上,根据某铀矿井排风口周边某一农田土壤中近10a的铀(238U)质量比监测数据建立了指数平滑预测模型,对土壤放射性铀(238U)污染进行预测,并对预测结果进行了深入分析,精度达75%以上。
2.
In order to investigate the noise pollution of the city,the exponential smooth method was used to establish the mathematical models based on the history measuring data for forecasting the noise pollution.
调查收集了某城市环境噪声污染监测的历史数据,应用指数平滑法建立了预测城市环境噪声污染的数学模型,并计算了不同平滑系数时数学模型的精度,同时应用建立的数学模型对该市10 n内的噪声污染进行了预测。
3.
In order to investigate the farmland soil heavy metal pollution near a metal mine, the exponential smooth method was used to establish the mathematical models based on the history measuring data for forecasting the heavy metal concentration.
为了研究尾矿库周边农田土壤重金属污染状况,通过调查收集了国内某铅锌矿山尾砂库周边农田重金属含量的历史数据,应用指数平滑法建立了预测尾矿库重金属污染浓度的数学模型,并计算了不同平滑系数时数学模型的精度,同时应用建立的数学模型对该区域10a后的重金属浓度进行了预测。
补充资料:动态指数
动态指数又称时间指数,是将不同时间(时期或时点)的同类现象水平进行比较的结果,反映的是现象在时间上的变化过程和程度。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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