| 人工神经网络-紫外吸光光度法同时测定芴和苊 |
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| 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]. 鞍山科技大学学报, 2001, 24(1): 5-7 |
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| 作者姓名： | 于洪梅 聂广明 李井会 |
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| 作者单位： | 鞍山钢铁学院化学工程学院!辽宁鞍山114002(于洪梅，李井会)，鞍山市科学技术开发服务中心!辽宁鞍山114001(聂广明) |
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| 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
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| 关 键 词： | 人工神经网络 吸光光度法 芴 苊 |
| 文章编号： | 1000-1654(2001)01-0005-03 |
| 修稿时间： | 2000-12-29 |
Simultaneous Determination of Fluorene and Acenaphthene by Artificial Neural Network-Ultraviolet Spectrophotometry |
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| YU Hong?mei ,NIE Guang?ming ,LI Jing?hui. Simultaneous Determination of Fluorene and Acenaphthene by Artificial Neural Network-Ultraviolet Spectrophotometry[J]. Journal of Anshan University of Science and Technology, 2001, 24(1): 5-7 |
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| Authors: | YU Hong?mei NIE Guang?ming LI Jing?hui |
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| Affiliation: | YU Hong?mei 1,NIE Guang?ming 2,LI Jing?hui 1 |
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| 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. |
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| Keywords: | artificial neural networks spectrophotometry fluorene acenaphthene |
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