Classification of valence changes of trivalent rare earth ions in alkaline earth borates using artificial neural networks
文献类型：期刊论文
| 作者 | Qi YH ; Xu L |
| 刊名 | chemometrics and intelligent laboratory systems
 |
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：长春应用化学研究所
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