Comparative study of QSAR/QSPR correlations using support vector machines, radial basis function neural networks, and multiple linear regression

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	Comparative study of QSAR/QSPR correlations using support vector machines, radial basis function neural networks, and multiple linear regression
刊名	JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES
	2004-07-08
卷号	44 期号:4
ISSN号	0095-2338
通讯作者	Fan, BT (reprint author), Univ Paris 07, ITODYS, CNRS, UMR 7086, 1 Rue Guy Brosse, F-75005 Paris, France.
学科主题	Chemistry ; Computer Science
语种	英语
WOS记录号	WOS:000222950200008
内容类型	期刊论文
源URL	[http://202.201.7.4:8080/handle/262010/78149]
专题	化学化工学院_期刊论文
推荐引用方式 GB/T 7714	. Comparative study of QSAR/QSPR correlations using support vector machines, radial basis function neural networks, and multiple linear regression[J]. JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES,2004,44(4).
APA	(2004).Comparative study of QSAR/QSPR correlations using support vector machines, radial basis function neural networks, and multiple linear regression.JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES,44(4).
MLA	"Comparative study of QSAR/QSPR correlations using support vector machines, radial basis function neural networks, and multiple linear regression".JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES 44.4(2004).