Figure 5. Relevance Analysis between five factors and 13 components.

(a) Multiple linear regression results of F1, F2 and F3. For F4 and F5, since multiple linear regression model cannot be established (P > 0.05), the correlations were assessed by the relative importance results. (b) The relevance results between 13 components and five factors based on the radial basis function neural network analysis.