Study on Phenol Compounds Using Multiple Regression and Neural Network Methods
文献类型：期刊论文
| 作者 | Guo M ; Xu L |
| 刊名 | acta physico-chimica sinica
 |
| 出版日期 | 1996 |
| 卷号 | 12期号:11页码:1027-1030 |
| 关键词 | TOPLILGICAL INDICES QUANTITATIVE STRUCTURE-ACTIVITY/PROPERTY RELATIONSHIP PHENOLS |
| ISSN号 | 1000-6818 |
| 通讯作者 | guo m |
| 中文摘要 | in this paper, the molecular connectivity indices and the electronic charge parameters of forty-eight phenol compounds nave been calculated. and applied for studying the relationship between partition coefficients and structure of phenol compounds. the results demonstrate that the properties of compounds can be described better with selective parameters, and the results obtained by neural network are superior to that by multiplle regression. |
| 收录类别 | SCI收录期刊论文 |
| 语种 | 中文 |
| WOS记录号 | WOS:000207600400015 |
| 公开日期 | 2010-12-22 |
| 源URL | [http://202.98.16.49/handle/322003/25535]  |
| 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 | Guo M,Xu L. Study on Phenol Compounds Using Multiple Regression and Neural Network Methods[J]. acta physico-chimica sinica,1996,12(11):1027-1030. |
| APA | Guo M,&Xu L.(1996).Study on Phenol Compounds Using Multiple Regression and Neural Network Methods.acta physico-chimica sinica,12(11),1027-1030. |
| MLA | Guo M,et al."Study on Phenol Compounds Using Multiple Regression and Neural Network Methods".acta physico-chimica sinica 12.11(1996):1027-1030. |
入库方式： OAI收割
来源：长春应用化学研究所
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