Quantitative structure-property relationship prediction of gas-to-chloroform partition coefficient using artificial neural network

Microchemical Journal

Volumn 95, Issue 2, 2010, Pages 140-151

  Golmohammadi, Hassan ^a   Safdari, Majid ^b  

^a UNIVERSITY OF MAZANDARAN   (Iran)

^b ISFAHAN UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Artificial neural network; Gas to chloroform partition coefficient; Genetic algorithm; Partial least squares; Quantitative structure property relationship

Indexed keywords

EID: 77950628721     PISSN: 0026265X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.microc.2009.10.019     Document Type: Article

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