| 人工神经网络用于荧光分析法同时测定苯酚和间苯二酚的含量 |
| |
| 引用本文： | 吴根华,何池洋,陈荣.人工神经网络用于荧光分析法同时测定苯酚和间苯二酚的含量[J].光谱学与光谱分析,2002,22(5):813-815. |
| |
| 作者姓名： | 吴根华 何池洋 陈荣 |
| |
| 作者单位： | 1. 安庆师范学院化学系,安徽,安庆,246011
2. 北京大学化学与分子工程学院,北京,100871 |
| |
| 摘 要： | 本文应用人工神经网络原理，以Levenberg-Marquardt BP算法对荧光光谱严重重叠的苯酚、间苯二酚的混合体系进行同时测定，在290－345nm的范围内，以14个特征波长处的荧光强度值作为网络特征参数，并通过均匀设计安排样本进行网络训练和计算，网络训练8次即达到误差精度要求（误差平方和小于0.01）。苯酚、间苯二酚的平均回收率分别为100.2%，９９.99%，相对标准偏差分别为０.４％，１.3％。
|
| 关 键 词： | 同时测定 人工神经网络 BP算法 荧光分析 苯酚 间苯二酚 |
| 文章编号： | 1000-0593(2002)05-0813-03 |
| 修稿时间： | 2002年4月8日 |
Application of Artificial Neural Network to Simultaneous Spectro-fluorimetric Determination of Phenol and Resorcinol |
| |
| Gen-hua Wu,Chi-yang He,Rong Chen.Application of Artificial Neural Network to Simultaneous Spectro-fluorimetric Determination of Phenol and Resorcinol[J].Spectroscopy and Spectral Analysis,2002,22(5):813-815. |
| |
| Authors: | Gen-hua Wu Chi-yang He Rong Chen |
| |
| Institution: | Department of Chemistry, Anqing Normal College, Anqing 246001, China. |
| |
| Abstract: | By the means of artificial neural network and Levenberg-Marquardt back-propagation train algorithm,the two components of phenol,resorcinol were determined simultaneously,in which the fluorescence spectra overlapped.In 290-345 nm,the fluorescence intensity at 14 wavelengths were taken as character of artificial neural network,and samples were arranged by method of equality design.The mean recovery of phenol and resorcinol were 100.2%,99.99% respectively.The RSD of the results were 0.4% and 1.3%. |
| |
| Keywords: | Artificial neural network Back-propagation algorithm Fluorimetry Phenol Resorcinol |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
