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

Authors:	Hassan Golmohammadi Majid Safdari

Institution:	^aDepartment of Chemistry, Mazandaran University, Babolsar, Iran;^bDepartment of Chemistry, Esfahan University of Technology, Esfahan, Iran

Abstract:

Keywords:	Quantitative structure&ndash property relationship Gas-to-chloroform partition coefficient Artificial neural network Partial least squares Genetic algorithm
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