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Quantitative structure-property relationship studies for predicting gas to carbon tetrachloride solvation enthalpy based on partial least squares, artificial neural network and support vector machine (open access)

Quantitative structure-property relationship studies for predicting gas to carbon tetrachloride solvation enthalpy based on partial least squares, artificial neural network and support vector machine

Article on quantitative structure-property relationship studies for predicting gas to carbon tetrachloride solvation enthalpy based on partial least squares, artificial neural network and support vector machine.
Date: February 20, 2012
Creator: Dashtbozorgi, Zahra; Golmohammadi, Hassan & Acree, William E. (William Eugene)
System: The UNT Digital Library