QSPR Model for Predicting Retention Time Basis on Gene Expression Programming

Tao Wang; Kang Ma; Xian Chao Li; Hong Zong Si; Ke Jun Zhang; Yun Bo Duan

doi:10.4028/www.scientific.net/AMR.926-930.3153

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930QSPR Model for Predicting Retention Time Basis on...

QSPR Model for Predicting Retention Time Basis on Gene Expression Programming

Abstract:

The coffee flavor compounds acquire a significant place in the improving the flavor of cigarette. In the present paper, the gene expression programming (GEP) is used to develop quantitative relationships between the retention time (TR) and four molecular descriptors of 52 compounds. The model of GEP gives good statistical result. This method can be used to set up the good regression model.

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Advanced Materials Research (Volumes 926-930)

Pages:

3153-3156

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.926-930.3153

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Online since:

May 2014

Authors:

Tao Wang, Kang Ma, Xian Chao Li, Hong Zong Si, Ke Jun Zhang, Yun Bo Duan

Keywords:

Coffee Flavor, Gene Expression Programming, QSPR, Retention Time

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References

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