Abstract
The quantitative structure-property relationship approach was performed to study the relative fluorescence intensity ratio (R) of Eu(DBM)(3)Phen (DBM-dibenzoylmethane, Phen-1,10-phenanthroline) in 34 different solvents. The multilinear regression analysis and artificial neural networks were employed to develop linear and nonlinear models, respectively. The proposed linear model contains six descriptors, with the squared correlation coefficient r(2) = 0.955 and the standard error of estimation s = 1.02. Better predictive results were obtained from the nonlinear model, with r(2) = 0.987 and s = 0.51. The descriptors involved in the models were discussed in detail too.
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