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For: Amouei Ojaki H, Lashkarbolooki M, Movagharnejad K. Correlation and prediction of surface tension of highly non-ideal hydrous binary mixtures using artificial neural network. Colloids Surf A Physicochem Eng Asp 2020. [DOI: 10.1016/j.colsurfa.2020.124474] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]

For:	Amouei Ojaki H, Lashkarbolooki M, Movagharnejad K. Correlation and prediction of surface tension of highly non-ideal hydrous binary mixtures using artificial neural network. Colloids Surf A Physicochem Eng Asp 2020. [DOI: 10.1016/j.colsurfa.2020.124474] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]

Number	Cited by Other Article(s)
1	Ojaki HA, Lashkarbolooki M, Movagharnejad K. Checking the performance of feed-forward and cascade artificial neural networks for modeling the surface tension of binary hydrocarbon mixtures. JOURNAL OF THE IRANIAN CHEMICAL SOCIETY 2022. [DOI: 10.1007/s13738-022-02703-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Abstract Collapse Key Words Collapse MESH Headings Collapse Grants Collapse Affiliation(s) Collapse

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Cited by Other Article(s)

Ojaki HA, Lashkarbolooki M, Movagharnejad K. Checking the performance of feed-forward and cascade artificial neural networks for modeling the surface tension of binary hydrocarbon mixtures. JOURNAL OF THE IRANIAN CHEMICAL SOCIETY 2022. [DOI: 10.1007/s13738-022-02703-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]