End-point Temperature Preset of Molten Steel in the Final Refining Unit Based on an Integration of Deep Neural Network and Multi-process Operation Simulation

Autor:	Shan Gao, Qing Liu, Wei-da Guo, Jiangshan Zhang, Jian-ping Yang
Rok vydání:	2021
Předmět:	End point Artificial neural network Mechanics of Materials Computer science Mechanical Engineering Materials Chemistry Metals and Alloys Molten steel Mechanical engineering Integrated approach Unit (housing) Process operation Refining (metallurgy)
Zdroj:	ISIJ International. 61:2100-2110
ISSN:	1347-5460 0915-1559
DOI:	10.2355/isijinternational.isijint-2020-540
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::63675757623871f6742a90d9745f1e6d https://doi.org/10.2355/isijinternational.isijint-2020-540 Zobrazit plný text záznamu