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1)  long-term prediction
长期预测
1.
Atmospheric circulation background and long-term prediction of grasshopper occurrence in Xinjiang;
新疆蝗虫发生的大气环流背景及长期预测
2.
Climatological cause and long-term prediction of occurrence of East Asia migratory locusts in China;
我国东亚飞蝗发生的气候背景及长期预测
3.
A new method for long-term prediction of ionosphere f_0F_2 and M(3000) F_2;
一种电离层f_0F_2和M(3000)F_2长期预测新方法
2)  long-term forecast
长期预测
1.
A long-term forecast method of timber growth ring density based on process neural network was proposed in this paper.
提出一种基于过程神经网络的木材生长轮密度长期预测方法。
3)  long-range forecast
长期预测
4)  long period forecasting
长期预测
1.
Long period forecasting model on grey catastrophe of Melanaphis sacchari (Zehntner);
高粱蚜灰色灾变长期预测模型
5)  long-term forecasting
长期预测
1.
Non-stationary time series analysis and long-term forecasting based on the combination model of wavelet transform and mean-generating function period extrapolation;
基于小波变换和均生函数周期外推组合模式的非平稳时间序列分析与长期预测
2.
By applying statistic theory, along with the adoption of an exogenous variable, this paper explores a modified GM(1,1) model for long-term forecasting.
结合统计途径,通过引入一个外生变量,对传统GM(1,1)模型进行了改进 新建构的模型不仅能有效提高GM(1,1)长期预测精度,扩大灰色预测理论的适用范围;而且能真实反映观测在不同阶段的变化速度和演变趋势,为决策者提供可信赖的依
6)  medium and long term forecasting
中长期预测
1.
In order to eliminate the bad impact of serious multi collinearity among independent variables, this paper described a model of simple partial least squares regression(PLS1)in medium and long term forecasting .
为了克服普通多元回归方法用于中长期预测时自变量多重共线性对拟合模型的干扰,引入了更易于辩识系统信息与噪声的单因变量偏最小二乘回归(PLS1),同时将两次拟合等维灰数递补(DEMGM(1,1))模型用于自变量的中长期预测,建立了一套PLS1与DEMGM(1,1)组合预测方法。
补充资料:发育进度预测法(见发生期预测)


发育进度预测法(见发生期预测)


  发育进度预测法见发生期预测。
  
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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