Process safety consequence modeling using artificial neural networks for approximating heat exchanger overpressure severity

Autor:	Ahmed Harhara, Akhil Arora, M.M. Faruque Hasan
Rok vydání:	2023
Předmět:	General Chemical Engineering Computer Science Applications
Zdroj:	Computers & Chemical Engineering. 170:108098
ISSN:	0098-1354
DOI:	10.1016/j.compchemeng.2022.108098
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::be15f7b07e7148479f3fcdc7324e8000 https://doi.org/10.1016/j.compchemeng.2022.108098 Zobrazit plný text záznamu Full Text from ScienceDirect