Title

Application of Artificial Neural Network to Predict the Tensile Properties of Dual-Phase Steels

Journal title

Archives of Metallurgy and Materials

Yearbook

2021

Volume

vol. 66

Issue

No 3

Affiliation

Shin, Seung-Hyeok : Seoul National University of Science and Technology, Department of Materials Science and Engineering, Seoul, 01811, Republic of Korea ; Kim, Sang-Gyu : Seoul National University of Science and Technology, Department of Materials Science and Engineering, Seoul, 01811, Republic of Korea ; Hwang, Byoungchul : Seoul National University of Science and Technology, Department of Materials Science and Engineering, Seoul, 01811, Republic of Korea

Authors

Shin, Seung-Hyeok ; Kim, Sang-Gyu ; Hwang, Byoungchul

Keywords

Artificial Neural Network (ANN) ; dual-phase steels ; alloying element ; microstructural factor ; tensile properties

Divisions of PAS

Nauki Techniczne

Coverage

719-723

Publisher

Institute of Metallurgy and Materials Science of Polish Academy of Sciences ; Committee of Materials Engineering and Metallurgy of Polish Academy of Sciences

Bibliography

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Date

2021.09.06

Type

Article

Identifier

DOI: 10.24425/amm.2021.136368

Source

Archives of Metallurgy and Materials