| 人工神经网络-紫外吸光光度法同时测定芴和苊 |
| |
| 引用本文： | 于洪梅,聂广明,李井会.人工神经网络-紫外吸光光度法同时测定芴和苊[J].辽宁科技大学学报,2001,24(1). |
| |
| 作者姓名： | 于洪梅 聂广明 李井会 |
| |
| 摘 要： | 用人工神经网络-紫外吸光光度法不经分离同时测定芴和苊，并与偏最小二乘-紫外吸光光度法比较.对合成样品进行分析.结果表明，人工神经网络法同偏最小二乘法一样能获得满意的分析结果.
|
| 关 键 词： | 人工神经网络 吸光光度法 芴 苊 |
Simultaneous Determination of Fluorene and Acenaphthene by Artificial Neural Network-Ultraviolet Spectrophotometry |
| |
| YU Hong-mei,Nie Guang-ming,LI Jing-hui.Simultaneous Determination of Fluorene and Acenaphthene by Artificial Neural Network-Ultraviolet Spectrophotometry[J].Journal of University of Science and Technology Liaoning,2001,24(1). |
| |
| Authors: | YU Hong-mei Nie Guang-ming LI Jing-hui |
| |
| Abstract: | Artificial neural networks has been applied to simultaneous determination of fluorene and acenaphthene by ultraviolet spectrophotometry.After compared the results of the synthetic samples obtained from the method above mentioned with those from partial least squares ultraviolet spectrophotometry,it shows that satisfied prediction can be obtained by them. |
| |
| Keywords: | |
| 本文献已被 万方数据 等数据库收录！ |
