人工神经网络-荧光光谱法同时测定维生素B_1,B_2,B_6  

Application of Artificial Neural Network to Simultaneous Spectrofluorimetric Determination of Vitamin B_1,B_2 and B_6

作　　者：吴根华[1] 何池洋[1] 

机构地区：[1]安庆师范学院化学系,安徽安庆246011

出　　处：《光谱学与光谱分析》2003年第3期535-538,共4页Spectroscopy and Spectral Analysis

基　　金：国家自然科学基金 (No 2 0 1 70 0 1 )资助课题

摘　　要：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维生素B1 ,B2 ,B6三组份混合体系同时进行了含量测定。在 390～ 5 2 0nm的范围内 ,以 15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 ,经网络训练和计算得出维生素B1 ,B2 ,B6 三者的平均回收率分别为 99 86 % ,99 6 0 % ,99 4 9% ,测定结果的相对标准偏差各为 1 7% ,1 6 % ,1 7%。By means of artificial neural network and Levenberg-Marquardt back-propagation training algorithm, the three components of vitamin B 1,B 2,B 6 were determined simultaneously, in which the spectra overlapped. In the range of 390-520 nm, the fluorescence intensities at 15 wavelengths were taken as a character of the artificial neural network, and samples were arranged by the method of equality design. The mean recoveries of vitamin B 1, vitamin B 2, and vitamin B 6 were 99.86%, 99.60% and 99.49% respectively. The RSDs of the results were 1.7%, 1.6%, and 1.7%.

关 键 词：人工神经网络 荧光光谱法 测定 维生素B1 BP算法 维生素B2 维生素B6 

分 类 号：O629.4[理学—有机化学] O657.3[理学—化学]