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dynamic grey model
相关语句
  灰色动态模型
    Prediction of Water Quality Used the Dynamic Grey Model Group Method Based on the Improved Residual Error Modification
    基于改进误差修正方法的灰色动态模型群水质预测
短句来源
    The Application of Dynamic Grey Model Groups for Water Quality Prediction based on the Result of Identification Index Method
    基于标识指数法的水质灰色动态模型群预测分析
短句来源
    In order to get an accurate water quality prediction,a new developed water quality predict method-the dynamic grey model group method was introduced in this paper by its fundamental principle and calculating process.
    介绍了一种新的水质预测方法—灰色动态模型群法的基本原理和计算过程。
短句来源
    To conquer the accuracy lack of the dynamic model groups when the original data array has obvious random fluctuation,this paper aims at using a new water quality prediction method-the dynamic grey model groups method based on the identification index to predict the water quality,and getting the result by amending the remnant error.
    目的为了解决由数据序列随机波动性大而引起的GM(1,1)动态模型群预测精度不高的问题. 方法利用水质标识指数序列作为灰色动态模型群的原始数据序列进行水质预测,并通过误差修正得出预测结果.
短句来源
    It is proved that the forecast result by the dynamic grey model groups method based on the identification index is not only perfect,but can reflect the water quality accurately. It is a valid water quality prediction method.
    结论由此证明利用基于标识指数法的灰色动态模型群进行预测不仅精度较高,而且计算结果能直观反映水质状况,可以作为水质预测的一种有效方法.
短句来源
  “dynamic grey model”译为未确定词的双语例句
    Prediction of rubbish output with dynamic grey model GM(1,1)
    等维灰数递补动态模型在生活垃圾产生量预测中的应用
短句来源
    The practical application of dynamic grey model GM(1,1) to predict rubbish output was discussed. It demonstrated that this model was better than ordinary grey model GM(1,1) for a long range prediction. \;
    本文探讨了等维灰数递补 GM(1,1)模型在垃圾产生量长期预测中的具体应用 ,比较了该模型与普通二次拟合灰色模型在预测精度及预测值的灰区间方面的差别 ,说明了等维灰数递补 GM(1,1)模型在作长期预测时具有一定的优越性
短句来源
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  dynamic grey model
Combining dynamic grey model and auto-manufacturing case the controlling and information subsystems of verification cycle and the lifecycle based on information integration, multi-sensor controlling and management controlling were given.
      
Dynamic grey model of verification cycle and lifecycle of measuring instrument and its application
      


The practical application of dynamic grey model GM(1,1) to predict rubbish output was discussed. It demonstrated that this model was better than ordinary grey model GM(1,1) for a long range prediction.\;

本文探讨了等维灰数递补 GM(1,1)模型在垃圾产生量长期预测中的具体应用 ,比较了该模型与普通二次拟合灰色模型在预测精度及预测值的灰区间方面的差别 ,说明了等维灰数递补 GM(1,1)模型在作长期预测时具有一定的优越性

In order to get an accurate water quality prediction,a new developed water quality predict method-the dynamic grey model group method was introduced in this paper by its fundamental principle and calculating process.Then it was used to predict one section′s water quality of the Hun-river across Shenyang city proper.After amended the residual error by the new method,the predict result was assessed by the identification index method and at the same time the practical monitor data was assessed.Finally,the...

In order to get an accurate water quality prediction,a new developed water quality predict method-the dynamic grey model group method was introduced in this paper by its fundamental principle and calculating process.Then it was used to predict one section′s water quality of the Hun-river across Shenyang city proper.After amended the residual error by the new method,the predict result was assessed by the identification index method and at the same time the practical monitor data was assessed.Finally,the conclusion was gotten that the forecast result which used the improved error revised method was coincident with the practical.It was indicated that this new residual error modification method can conquer the accuracy lack of grey model(1,1) groups when the original data array has obvious random fluctuation,so it can be used as one of valid remnant error amended method in the water quality prediction.

介绍了一种新的水质预测方法—灰色动态模型群法的基本原理和计算过程。将该方法应用于浑河沈阳段某监测断面的水质预测中,预测所得数值经过一种新的误差修正方法后和实际监测水质数据同时进行水质标识指数法评价,以便得出一个简单直观的结果对其精度进行检验。结论得出,应用新的误差修正方法的灰色动态模型群的预测结果与实际监测的水质结果一致,表明该方法能克服由数据序列随机波动性大而引起的GM(1,1)动态模型群预测精度不高的问题,可以作为水质预测中的一种有效的误差修正方法。

To conquer the accuracy lack of the dynamic model groups when the original data array has obvious random fluctuation,this paper aims at using a new water quality prediction method-the dynamic grey model groups method based on the identification index to predict the water quality,and getting the result by amending the remnant error.First we use the identification index method to assess the water quality which obtained from one monitorial section′s water quality of the Hunhe river across Shenyang city,and...

To conquer the accuracy lack of the dynamic model groups when the original data array has obvious random fluctuation,this paper aims at using a new water quality prediction method-the dynamic grey model groups method based on the identification index to predict the water quality,and getting the result by amending the remnant error.First we use the identification index method to assess the water quality which obtained from one monitorial section′s water quality of the Hunhe river across Shenyang city,and then the precision of this method can be checked by the result which has already been measured in practice.After amending the remnant error we got the forecast result,which was coincident with the practical monitor data assessing consequence.It is proved that the forecast result by the dynamic grey model groups method based on the identification index is not only perfect,but can reflect the water quality accurately.It is a valid water quality prediction method.

目的为了解决由数据序列随机波动性大而引起的GM(1,1)动态模型群预测精度不高的问题.方法利用水质标识指数序列作为灰色动态模型群的原始数据序列进行水质预测,并通过误差修正得出预测结果.以浑河沈阳城区段某断面的监测水质为例,采用标识指数法的水质灰色动态模型群计算,通过实际监测数据检验预测精度.结果预测结果表明:河流水质标识指数经过误差修正后与实际监测资料的水质标识指数计算结果基本一致.结论由此证明利用基于标识指数法的灰色动态模型群进行预测不仅精度较高,而且计算结果能直观反映水质状况,可以作为水质预测的一种有效方法.

 
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