Exploration of Machine Learning to Predict Hot Ductility of Cast Steel from Chemical Composition and Thermal Conditions
Crossref DOI link: https://doi.org/10.1007/s12540-020-00713-w
Published Online: 2020-06-03
Published Print: 2021-02
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Hong, Daegeun
Kwon, Sanghum
Yim, Changhee
Text and Data Mining valid from 2020-06-03
Version of Record valid from 2020-06-03
Article History
Received: 11 February 2020
Accepted: 23 March 2020
First Online: 3 June 2020