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  

Application of Artificial Neural Network to Simultaneous Spectro-fluorimetric Determination of Phenol and Resorcinol

作　　者：吴根华[1] 何池洋[1] 陈荣[2] 

机构地区：[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

出　　处：《光谱学与光谱分析》2002年第5期813-815,共3页Spectroscopy and Spectral Analysis

摘　　要：本文应用人工神经网络原理 ,以Levenberg MarquardtBP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 2 90～ 34 5nm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 0 1)。苯酚、间苯二酚的平均回收率分别为 10 0 2 % ,99 99% ,相对标准偏差分别为 0 4% ,1 3%。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%.

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 

分 类 号：O625.312[理学—有机化学] O657.3[理学—化学]