QSPR study for prediction of boiling points of 2475 organic compounds using stochastic gradient boosting

Author:

Zhang Jue-hong12,Liu Zai-ming1,Liu Wan-rong2

Affiliation:

1. School of Mathematics and Statistics; Central South University; Changsha 410083 China

2. Department of Statistics and Financial Mathematics; Hunan Normal University; Changsha 410081 China

Publisher

Wiley

Subject

Applied Mathematics,Analytical Chemistry

Reference37 articles.

1. Normal boiling points of 1, omega-alkanedinitriles: the highest increment in a homologous series;Balaban;J. Chem. Inf. Comput. Sci.,1999

2. A quantum mechanical/neural net model for boiling points with error estimation;Chalk;J. Chem. Inf. Comput. Sci.,2001

3. Prediction of boiling points of ketones using a quantitative structure-property relationship treatment;Komasa;Pol. J. Chem.,2003

4. QSPR models of boiling point, octanol-water partition coefficient and retention time index of polycyclic aromatic hydrocarbons;Ribeiro;Theochem.-J. Mol. Struct.,2003

5. QSPR using molgen-qspr: the challenge of fluoroalkane boiling points;Rucker;J. Chem. Inf. Model.,2005

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