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grey calculation
相关语句
  灰色预测
     The incidence of leprosy each year in the period of 1956 to 1981 in Zhanjiang City of Guangdong is forecast with the equation GM (1,1) of grey calculation, and the result is compared with the results of dynamic number sequence fitting and exponential curve equation.
     本文用灰色预测GM(1,1)方程对湛江市1956~1981年的麻风发病率作了预测並与动态数列拟合和指数曲线方程的结果作了比较。
短句来源
     Trial Forecast of Incidence with Grey Calculation in Leprosy
     试用灰色预测法作麻风发病率预测
短句来源
     In this article, we have used Grey calculation model (GM (1,1))and built a model ofpopulation calculation for the date of plan of Mianyang city: x (k+1)=56152. 9e-0.008736879k0.0087368k-52842. 89, parameter a=-8.447528*10-0.008736879k(-3), u=470. 3723. Provethat the model is optimon efsult of calculation by means of compare and test of error.
     本文以绵阳市1985~1989年人口数为基数,运用灰色预测模型GM(1,1)建立了绵阳市规划期人口预测模型:x(K+1)= 56152.9e~(-0.008736879K) —52842.89,参数A=—8.447528X10~(-3),u=470.3732.并通过比较和误差检验证明比横型预测效果最佳.
短句来源
     The authors found that the forecasted value according to the grey calculation has a better fit with actual value;
     结果表明:1.灰色预测法的预测值与实际值拟合良好,近期预侧效果也较满意,但远期预测效果的误差过大。
短句来源
     n this paper, on the basis of the theory of grey system, we establish grey calulation model to the output of grain in Hubei Province and give a detailed description to the process of establishing the model. We also analyse and contrast the previous result and stochastic process model of the output of grain in Hubei Province and the actual result shows that precision of grey calculation model is higher than that of stochastic process model.
     本文采用灰色系统理论对湖北省粮食产量建立了灰色预测模型,较详细地叙述了建模过程,并将其结果与湖北省粮食产量的随机时序模型进行了分析对比,实际结果表明,灰色预测模型比随机时序模型提高了精度。
短句来源
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  相似匹配句对
     The calculation of C.
     C.
短句来源
     Study on Calculation and Measurement of Grey Conception
     灰色概念的度量及运算研究
短句来源
     On Calculation of Grey Correlation Grade for Logs.
     测井曲线灰关联度计算
短句来源
     CALCULATION OF CAPACITANCE
     电容的计算
短句来源
     Grey MOSCOW
     灰色莫斯科
短句来源
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The incidence of leprosy each year in the period of 1956 to 1981 in Zhanjiang City of Guangdong is forecast with the equation GM (1,1) of grey calculation, and the result is compared with the results of dynamic number sequence fitting and exponential curve equation.The authors found that the forecasted value according to the grey calculation has a better fit with actual value; its short-term forecastng effect is better and the long-term has a larger error, but the error is less than those of dynamic...

The incidence of leprosy each year in the period of 1956 to 1981 in Zhanjiang City of Guangdong is forecast with the equation GM (1,1) of grey calculation, and the result is compared with the results of dynamic number sequence fitting and exponential curve equation.The authors found that the forecasted value according to the grey calculation has a better fit with actual value; its short-term forecastng effect is better and the long-term has a larger error, but the error is less than those of dynamic numer sequence fitting and exponential curve equations.

本文用灰色预测GM(1,1)方程对湛江市1956~1981年的麻风发病率作了预测並与动态数列拟合和指数曲线方程的结果作了比较。结果表明:1.灰色预测法的预测值与实际值拟合良好,近期预侧效果也较满意,但远期预测效果的误差过大。2.和实际值相比,灰色预测法的误差较动态数列拟合法和指数曲线方程的为小。

In this paper, the hygienic technical term structure is analysed and discussed based on the method of grey calculation in the grey system theory. A time data sequence on hygienic technical term structure is dealt with, which is taken out from the data of Hubei Province over the years. The calculating result provides a number of effective policy-making basis for allocating rationally specialized structure of hygienic technical term and setting up speciality of medical education.

本文应用灰色系统理论中的预测方法对卫生技木人才结构作了分析和讨论,对湖北省历年的卫生技木人才结构的时间和数据序列进行了数据处理。预测结果为技木人才专业结构合理配备和医学教育专业设置提供了一些有效的决策依据。

In this article, we have used Grey calculation model (GM (1,1))and built a model ofpopulation calculation for the date of plan of Mianyang city: x (k+1)=56152. 9e-0.008736879k0.0087368k-52842. 89, parameter a=-8.447528*10-0.008736879k(-3), u=470. 3723. Provethat the model is optimon efsult of calculation by means of compare and test of error.

本文以绵阳市1985~1989年人口数为基数,运用灰色预测模型GM(1,1)建立了绵阳市规划期人口预测模型:x(K+1)= 56152.9e~(-0.008736879K) —52842.89,参数A=—8.447528X10~(-3),u=470.3732.并通过比较和误差检验证明比横型预测效果最佳.

 
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