Predicting the standard enthalpy (triangle H-f(0)) and entropy (S-0) of alkanes by artificial neural networks

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	Predicting the standard enthalpy (triangle H-f(0)) and entropy (S-0) of alkanes by artificial neural networks
刊名	SAR AND QSAR IN ENVIRONMENTAL RESEARCH
	2000
卷号	11 期号:3-4
关键词	artificial neural networks (ANNs) extended delta-bar-delta (EDBD) algorithm standard enthalpy standard entropy alkanes
ISSN号	1062-936X
通讯作者	Fan, BT (reprint author), Univ Paris 07, ITODYS, 1 Rue Guy Brosse, F-75005 Paris, France.
学科主题	Chemistry ; Computer Science ; Environmental Sciences & Ecology ; Mathematical & Computational Biology ; Toxicology
语种	英语
WOS记录号	WOS:000088895700003
内容类型	期刊论文
源URL	[http://202.201.7.4:8080/handle/262010/79740]
专题	化学化工学院_期刊论文
推荐引用方式 GB/T 7714	. Predicting the standard enthalpy (triangle H-f(0)) and entropy (S-0) of alkanes by artificial neural networks[J]. SAR AND QSAR IN ENVIRONMENTAL RESEARCH,2000,11(3-4).
APA	(2000).Predicting the standard enthalpy (triangle H-f(0)) and entropy (S-0) of alkanes by artificial neural networks.SAR AND QSAR IN ENVIRONMENTAL RESEARCH,11(3-4).
MLA	"Predicting the standard enthalpy (triangle H-f(0)) and entropy (S-0) of alkanes by artificial neural networks".SAR AND QSAR IN ENVIRONMENTAL RESEARCH 11.3-4(2000).