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	Prediction of Henry's law constants for organic compounds using multilayer feedforward neural networks based on linear solvation energy relationship.
	Hao Li; Xiaoting Wang; Tianqi Yi; Zhihan Xu; Xifeng Liu
刊名	Journal of Chemical and Pharmaceutical Research
	2014
卷号	Vol.6 No.6页码:1557-1564
关键词	Artificial Neural Networks Henry's law constant linear solvation energy relationship Multilayer Feedforward Neural Networks organic compounds
ISSN号	0975-7384
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/1994692
专题	四川大学
作者单位	1.College of Chemistry and Chemical Engineering, Hunan University, Changsha, China 2.College of Polymer Science and Engineering, Sichuan University, Chengdu, Sichuan, China 3.School of Civil Engineering and Architecture, Nanchang University, Nanchang, Jiangxi, China 4.College of Chemistry, Sichuan University, Chengdu, Sichuan, China 5.College of Light Industry, Sichuan, Chengdu, Sichuan, China 6.Department of Chemistry, Michigan State University, East Lansing, Michigan, United States
推荐引用方式 GB/T 7714	Hao Li,Xiaoting Wang,Tianqi Yi,et al. Prediction of Henry's law constants for organic compounds using multilayer feedforward neural networks based on linear solvation energy relationship.[J]. Journal of Chemical and Pharmaceutical Research,2014,Vol.6 No.6:1557-1564.
APA	Hao Li,Xiaoting Wang,Tianqi Yi,Zhihan Xu,&Xifeng Liu.(2014).Prediction of Henry's law constants for organic compounds using multilayer feedforward neural networks based on linear solvation energy relationship..Journal of Chemical and Pharmaceutical Research,Vol.6 No.6,1557-1564.
MLA	Hao Li,et al."Prediction of Henry's law constants for organic compounds using multilayer feedforward neural networks based on linear solvation energy relationship.".Journal of Chemical and Pharmaceutical Research Vol.6 No.6(2014):1557-1564.

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