all possible regression procedure

In order to enhance forecasting precision and easy to modeling, particular analyzed application rule of all-possible-regression analyse, this method was used in managing in the original data, select right import variable, then eatabish forcast model combined with back propagation,, and get preferable forecasting effect.

从提高预测精度和方便建模的角度出发,分析了所有可能回归分析法的应用准则,探讨了应用所有可能回归分析法对初始样本数据处理,选取合适的输入变量,结合BP神经网络建立预测模型的过程,并且取得较好的预测效果。

0 statistics software with the method of ordinal regression.

方法用有序回归分析方法,采用SPSS 12。

The problem of predicting variables of ordinal scale is referred to as ordinal regression and is complementary to the standard machine learning tasks of classification and metric regression.

根据专家决策和结构风险最小化原则,构建了一种新的不确定性有序 SVR风险预警模型,可以解决训练点带有不确定性的有序回归问题。