模型详细设计流程如图2.1所示，本文先基于26个输入因子与输出因子间灰

The detailed design process of the model is shown in Figure 2.1. This paper first selects the six input factors a with a greater degree of correlation with the output factor based on the gray correlation degree m value between the 26 input factors and the output factor, and sets the correlation coefficient to b ,h=1,...,6.

The detailed design process of the model is shown in Figure 2.1, and this paper first selects the 6 input factora with a large correlation degree a with the correlation between 26 input factors and the output factor, with a correlation coefficient of b, h-1,...,6.

The detailed design flow of the model is shown in Figure 2.1. In this paper, based on the gray correlation degree m value between 26 input factors and output factors, six input factors a with high correlation degree with output factors are selected, and the correlation coefficient is set as B, H = 1 ,6。<br>