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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
     Application of The Dynamic Grey Model In the Settlement Prediction of One High Hearth
     灰色动态模型在高炉沉降预测中的应用
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
     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
     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.
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  “dynamic grey model”译为未确定词的双语例句
     Predicting whole benefit of soil and water conservation with dynamic grey model group—taking Ansai experimental area in soil and water conservation as example
     应用动态灰色模型群预测水土保持效益——以安塞水土保持实验区为例
短句来源
     Methods Data on daily SARS cases was from Hong Kong Department of Health from March 11,2003 to June 12,2003.13 statistical models including curve fitting,γ-distribution,time series and dynamic grey model(1,1) and so on to predict the daily SARS cases.
     方法香港每日SARS病例数据(2003年3月11日至2003年6月12日)来源于香港卫生署。 采用数理统计学与系统工程学的方法,包括曲线拟合、γ分布、时间序列以及灰色动态GM(1,1)模型等13种方法对每日病例数进行预测。
短句来源
     Conclusion Time series,γ model and dynamic grey model(1,1) were perfect to predict short-term SARS epidemic in Hong Kong.
     结论时间序列、γ分布和灰色动态GM(1,1)模型对香港SARS流行的短期预测效果较好。
短句来源
     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
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  相似匹配句对
     Dynamic
     地方科技动态
短句来源
     DYNAMIC
     动态
短句来源
     Study on Grey Dynamic Programming
     灰色动态规划研究
短句来源
     Safety Grey Assessment in Dynamic
     系统动态安全评价与预测的灰色方法
短句来源
     Grey Dynamic Modeling Technique and Application
     灰色动态建模技术与应用
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 benefit target of soil and water conservation is a dynamic grey cotrol system with multi-purpose and multi-factor. In order to predict the developing trend of three main benefit targets of grain yield, total biological amount and total output value, a group of three dynamic grey models are found usine grey control theory and programmed in the paper. The general form of the models is x(1)(k+1)=[x~(1)(0)-u/a]e~(-at)+u/a where a and u are variable parameters for each model,...

The benefit target of soil and water conservation is a dynamic grey cotrol system with multi-purpose and multi-factor. In order to predict the developing trend of three main benefit targets of grain yield, total biological amount and total output value, a group of three dynamic grey models are found usine grey control theory and programmed in the paper. The general form of the models is x(1)(k+1)=[x~(1)(0)-u/a]e~(-at)+u/a where a and u are variable parameters for each model, k and t are time variables. The model group is examined to be effective in prediction with a good precision and it predicted the whole benefit of Ansai experiment area of soil and water conservation.The results showed that by year of + he 2000 the grain yield, total biological amount and total output values would be increased for 71.7%, 3.14 and about 6 times respectively than that in 1986, the economical benefit will raise more rapidly than social benefit and ecology benefit in soil and water conservation.

水土保持效益指标是一个多目标、多因素的动态灰色控制系统。本文用灰色理论建立了三个动态灰色模型群及计算程序,以预测三个主要效益评价指标——粮食产量、总生物量和总产值的发展趋势。该模型群的一般形式为三个模型群经检验是有良好精度的有效预测,并用于预测安塞水土保持实验区的总体效益。预测结果表明,到2000年,当地粮食产量、总生物量和总产值将比1986年分别增长71.7%、3.14倍和约6倍,水土保持的经济效益比生态效益和社会效益增长快。

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。

 
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