Document Type: Original Research Article

Author

Hamadan University of Medicinal Sciences, Hamadan, Iran

Abstract

In the present work, an artificial neural network (ANN) model was used to study the quantitative structure retention relationship (QSRR) of retention index (RI) of some volatile compounds in natural cocoa and conched chocolate powder. Molecular structural descriptors are selected using genetic algorithm to construct the nonlinear QSRR models, kernel partial least squares PLS (KPLS) and Levenberg- Marquardt artificial neural network (L-M ANN) were employed.

Graphical Abstract

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