Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
675693 | Thermochimica Acta | 2008 | 4 Pages |
Abstract
A quantitative structure property relationship (QSPR) study was performed to develop a model for prediction of enthalpy of sublimation of pure components. For developing this model, 1348 pure components were used, and for each of them, 1664 molecular descriptors were determined. As a standard tool for subset variable selection, genetic algorithm-based multivariate linear regression (GA-MLR) technique was used. The obtained model is a five-parameter multi-linear equation that has a squared correlation coefficient of 0.9746 (R2 = 0.9746).
Keywords
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Fluid Flow and Transfer Processes
Authors
Farhad Gharagheizi,