Accurate prediction of aquatic toxicity of aromatic compounds based on Genetic Algorithm and Least Squares Support Vector Machines

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	Accurate prediction of aquatic toxicity of aromatic compounds based on Genetic Algorithm and Least Squares Support Vector Machines
刊名	QSAR & COMBINATORIAL SCIENCE
	2008-07
卷号	27 期号:7
关键词	aquatic toxicity applicability domain Genetic Algorithm Kennard-Stone Algorithm Least Squares Support Vector Machines Quantitative Structure-Toxicity Relationships
ISSN号	1611-020X
通讯作者	Lei, BL (reprint author), Lanzhou Univ, Dept Chem, Lanzhou 730000, Peoples R China.
学科主题	Pharmacology & Pharmacy ; Chemistry ; Computer Science
语种	英语
WOS记录号	WOS:000258082600005
内容类型	期刊论文
源URL	[http://202.201.7.4:8080/handle/262010/77519]
专题	化学化工学院_期刊论文
推荐引用方式 GB/T 7714	. Accurate prediction of aquatic toxicity of aromatic compounds based on Genetic Algorithm and Least Squares Support Vector Machines[J]. QSAR & COMBINATORIAL SCIENCE,2008,27(7).
APA	(2008).Accurate prediction of aquatic toxicity of aromatic compounds based on Genetic Algorithm and Least Squares Support Vector Machines.QSAR & COMBINATORIAL SCIENCE,27(7).
MLA	"Accurate prediction of aquatic toxicity of aromatic compounds based on Genetic Algorithm and Least Squares Support Vector Machines".QSAR & COMBINATORIAL SCIENCE 27.7(2008).