Temperature Control Optimization in a Steel‐Making Continuous Casting Process Using a Multimodal Deep Learning Approach

Autor:	Bayu Adhi Tama, Seong Jin Park, Jaewan Park, Jonggeun Bang, Seung-Chul Lee, Jeong Yeon Hwang, Gi Woung Song
Rok vydání:	2019
Předmět:	Temperature control business.industry Computer science Deep learning Metals and Alloys Process (computing) Condensed Matter Physics Steelmaking Continuous casting Materials Chemistry Deep neural networks Artificial intelligence Physical and Theoretical Chemistry Process engineering business
Zdroj:	steel research international. 90:1900321
ISSN:	1869-344X 1611-3683
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::44d2134eb41e18643b8e10baba29d3e0 https://doi.org/10.1002/srin.201900321 Zobrazit plný text záznamu Plný text