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1)  incomplete-divide distinguished correction
残商修正
1.
Based on gray system theory, this paper presents an equal degree incomplete-divide distinguished correction GIU(1,1) model to forecast the total wages and average wage of the staff and workers of Chongqing.
利用灰色系统理论,建立残商修正等维灰数递补GM(1。
2)  incomplete-quotient distinguished correction
残商辨识修正
1.
Based on the gray system theory, the paper suggests a kind of gray modeling method with incomplete-quotient distinguished correction, which is characterized by high accuracy and simple algorithm.
本文基于灰色系统理论,提出一种残商辨识修正的灰色建模方法,这种方法精度高、算法简单。
3)  Residual error amendment
残差修正
1.
The established forecast model of mutation monotone or nomonotone initial sequence adjusted by residual error amendment and period amendment several times.
文中对具有突变性单调或非单调的初始序列所建立的预测模型进行了多次残差修正与周期修正,使其预测误差在控制范围内。
2.
To improve the accuracy of load forecasting, by use of residual error amendment forecasting model based on real number output and fitting residual error by trigonometric function, a fuzzy.
为了提高电力负荷预测技术的水平 ,作者以基于实数输出值的模糊回归分析及用三角函数拟合残差的方法 ,提出了预测电力负荷的模糊线性回归——残差修正预测模型。
4)  residue correct
残差修正
1.
The equality time-distance GM (1, 1) model was transformed into inequatily time-distance GM (1 ,1) model to predict, and predicted accuracy was improred by residue correct.
并经过残差修正,提高预测精度。
5)  residual error modification
残差修正
1.
To the nonlinear characteristics of land subsidence curve,a residual error modification method was presented based on GM(1,1).
结果表明,通过残差修正,预测精度得到提高,利用此模型预测地面沉降可减少地面沉降监测经费和实时提供预警信息。
6)  residual modification
残差修正
1.
On the basis of the introducing of the Grey Theory,in the paper scientific and accurate prediction is presented using grey forecasting model and residual modification model.
在介绍灰色系统理论的基础上,讨论了灰色预测原理,以中国总人口为例,进行了灰色预测模型的建立和求解,提出了中国人口动态模型;以城市的年供电量为例,利用历史数据,并对电力系统各年的日最大负荷的预测建立了基于残差修正的灰色预测模型。
2.
The differential fitting equation is set up,and grey prediction model modified by slip average method is presented with residual modification.
用生成方法对原始数据进行处理,消除了影响电力需求量的众多非重要因素,并从原始数据中挖掘有用的信息,建立微分拟合方程,基于残差修正提出滑动平均法改进型灰色预测模型,增加当年数据的权重,避免数值的过度波动。
3.
This study presents that residual of the grey model is a Markov-chain , then presents a new residual modification model.
指出灰色模型的残差是一种马尔科夫链,并在此基础上提出马尔科夫残差修正灰色模型,并将其应用于公路网规划中的运输量的预测。
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