Classification of valence changes of trivalent rare earth ions in alkaline earth borates using artificial neural networks

	Classification of valence changes of trivalent rare earth ions in alkaline earth borates using artificial neural networks
	Qi YH ; Xu L
刊名	chemometrics and intelligent laboratory systems
	1999
卷号	45 期号:1-2 页码:287-293
关键词	SECONDARY STRUCTURE PREDICTION PHARMACEUTICAL PROBLEMS LUMINESCENCE PROPERTIES CHEMICAL-SHIFTS
ISSN号	0169-7439
通讯作者	xu, l, chinese acad sci, changchun inst appl chem, changchun 130022, peoples r china
中文摘要	the investigations of classification on the valence changes from re3+ to re2+ (re = eu, sm, yb, tm) in host compounds of alkaline earth berate were performed using artificial neural networks (anns). for comparison, the common methods of pattern recognition, such as simca, knn, fisher discriminant analysis and stepwise discriminant analysis were adopted. a learning set consisting of 24 host compounds and a test set consisting of 12 host compounds were characterized by eight crystal structure parameters. these parameters were reduced from 8 to 4 by leaps and bounds algorithm. the recognition rates from 87.5 to 95.8% and prediction capabilities from 75.0 to 91.7% were obtained. the results provided by ann method were better than that achieved by the other four methods. (c) 1999 elsevier science b.v. all rights reserved.
收录类别	CSCD收录国内期刊论文
语种	英语
WOS记录号	WOS:000078497200032
公开日期	2010-11-04
内容类型	期刊论文
源URL	[http://202.98.16.49/handle/322003/22035]
专题	长春应用化学研究所_长春应用化学研究所知识产出_期刊论文
推荐引用方式 GB/T 7714	Qi YH,Xu L. Classification of valence changes of trivalent rare earth ions in alkaline earth borates using artificial neural networks[J]. chemometrics and intelligent laboratory systems,1999,45(1-2):287-293.
APA	Qi YH,&Xu L.(1999).Classification of valence changes of trivalent rare earth ions in alkaline earth borates using artificial neural networks.chemometrics and intelligent laboratory systems,45(1-2),287-293.
MLA	Qi YH,et al."Classification of valence changes of trivalent rare earth ions in alkaline earth borates using artificial neural networks".chemometrics and intelligent laboratory systems 45.1-2(1999):287-293.