https://www.selleckchem.com/pr....oducts/BAY-73-4506.h
Finally, the FS-DNN trained model is brought into the genetic algorithm to construct the FS-DNNGA model, and the FS-DNNGA model outputs the corresponding chemical composition and process when the mechanical performance increases or decreases. The experimental results show that the FS-DNN model has high accuracy in predicting the mechanical properties of 50 furnaces of low-alloy steel. The tensile strength mean absolute error (MAE) is 11.7 MPa, and the yield strength MAE is 13.46 MPa. According to the chemical composition a
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