Research Article
A Machine Learning-Based Model for Predicting Atmospheric Corrosion Rate of Carbon Steel
Figure 6
Regression results of the optimal ANN model. (a) All-data: R2 = 0.9998. (b) Training: R2 = 0.9998. (c) Validation: R2 = 0.9998. (d) Testing: R2 = 0.9999.
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