Research Article
A Machine Learning-Based Model for Predicting Atmospheric Corrosion Rate of Carbon Steel
Table 7
Coefficients for formulation of the atmospheric corrosion rate.
| | | | | | | | | | |
| 0 | 0.0493 | | | | | | | | | 1 | 0.0894 | 2.0629 | −1.0393 | 0.9389 | 0.1480 | 0.6153 | 0.8763 | 0.4277 | 0.6584 | 2 | −0.1287 | 1.5126 | −0.1523 | 1.2986 | 0.8260 | 0.9740 | −0.4331 | −0.2793 | 0.6598 | 3 | −0.0497 | −0.9743 | 0.4505 | 0.5804 | −0.2783 | 0.1327 | 0.2816 | 0.1549 | −1.7495 | 4 | 0.9864 | −0.0732 | −0.0674 | −1.0076 | 1.3142 | 0.1547 | 0.0209 | 0.6745 | 0.3935 | 5 | −0.3221 | −0.0563 | 0.2031 | 0.3162 | 1.0973 | −0.9569 | −1.0679 | 0.5407 | 0.5098 | 6 | −0.2042 | −0.0721 | 1.0733 | −0.8696 | 0.9764 | 1.1741 | −0.3816 | −0.2964 | −0.2766 | 7 | 0.5900 | 0.7026 | 0.6368 | −0.3613 | −0.4065 | −0.1896 | −0.7083 | 0.6785 | −0.7133 | 8 | 0.0918 | 1.5238 | 0.9555 | 0.3775 | −0.2519 | −0.9748 | 0.8895 | −0.4711 | 1.0209 | 9 | 0.1518 | −1.2355 | −0.5890 | 0.7354 | −1.1184 | 1.0177 | −0.2707 | 0.3039 | −0.5342 | 10 | 0.1086 | 2.3844 | 0.3684 | 0.7974 | 0.7287 | 0.8352 | 0.7734 | 0.3575 | −0.5042 |
|
|