Application of Artificial Neural Network to Predict the Tensile Properties of Dual-Phase Steels
An artificial neural network (ANN) model was developed to predict the tensile properties of dual-phase steels in terms of alloying elements and microstructural factors. The developed ANN model was confirmed to be more reasonable than the multiple linear regression model to predict the tensile proper...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Polish Academy of Sciences
2021-09-01
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| Series: | Archives of Metallurgy and Materials |
| Subjects: | |
| Online Access: | https://journals.pan.pl/Content/119241/PDF/AMM-2021-3-10-Hwang.pdf |