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| BP网络在类黄酮类天然抗氧化剂构性关系研究中的应用 | |
| 引用本文： | 何琴,黄保军,高建华.BP网络在类黄酮类天然抗氧化剂构性关系研究中的应用[J].天津师范大学学报(自然科学版),2007,27(1):8-9,16. |
| 作者姓名： | 何琴 黄保军 高建华 |
| 作者单位： | 1. 许昌学院,化学系,许昌,461000 2. 许昌学院,表面微纳米材料研究所,许昌,461000 3. 郑州大学,化学系,郑州,450052 |
| 摘 要： | 采用误差反传前向人工神经网络模型研究了类黄酮类天然抗氧化剂的结构与其抗氧化能力的关系,用8×4×1网络预测其抗氧化能力,预测误差均小于1%,取得了较好的预测结果,网络自相容能力和交叉检验结果良好. |
| 关 键 词： | BP网络 类黄酮 构性关系 |
| 文章编号： | 1671-1114（2007）01-0008-02 |
| 收稿时间： | 2006-06-25 |
| 修稿时间： | 2006-06-25 |
Application of Back Propagation Neural Network in the Quantitative Structure-property Relationship of the Flavonoid Natural Antioxidant |
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| HE Qin,HUANG Bao-jun,GAO Jian-hua.Application of Back Propagation Neural Network in the Quantitative Structure-property Relationship of the Flavonoid Natural Antioxidant[J].Journal of Tianjin Normal University(Natural Science Edition),2007,27(1):8-9,16. | |
| Authors: | HE Qin HUANG Bao-jun GAO Jian-hua |
| Abstract: | The relationship between structure of flavonoid natural antioxidant and its antioxidant abilities was studied by using neural network based on the back propagation algorithm.The prediction results were examined by a self-consistency test and a cross-validation test.The self-consistency test and the cross-validation test obtained good results when using the physical property parameters about structure as the inputs,their errors were lower 1%. |
| Keywords: | back propagation neural network flavonoid QSPR |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |