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小波神经网络结合紫外光谱用于四种维生素混合体系的同时测定
引用本文:印春生,任琴,李志良,潘忠孝,张懋森. 小波神经网络结合紫外光谱用于四种维生素混合体系的同时测定[J]. 计算机与应用化学, 1999, 16(5): 378-378
作者姓名:印春生  任琴  李志良  潘忠孝  张懋森
作者单位:[1]中国科学技术大学应用化学系 [2]重庆大学环境与化工学院
摘    要:首次实现了小波网络多节点输出,表明该网络在且分混合物的定量分析问题上有独到的优点。运用小波神经网络对B族维生素的混保体系进行了测定。结果良好。

关 键 词:小波神经网络 紫外光谱 测定 维生素B族

Simultaneous Determination of Four|component B|group Vitamins by Using Wavelet Neural Network (WNN)
YIN Chun|Sheng REN Qin LI Zhi|Liang PAN Zhong|Xiao ZHANG Mao|Sen. Simultaneous Determination of Four|component B|group Vitamins by Using Wavelet Neural Network (WNN)[J]. Computers and Applied Chemistry, 1999, 16(5): 378-378
Authors:YIN Chun|Sheng REN Qin LI Zhi|Liang PAN Zhong|Xiao ZHANG Mao|Sen
Affiliation:YIN Chun|Sheng REN Qin LI Zhi|Liang 1 PAN Zhong|Xiao ZHANG Mao|Sen
Abstract:A simultaneous determination of four components of B|group vitamin, using a novel wavelet|based neural network, wavelet neural network (WNN), combined with the correlation coefficient and standard deviation, is reported in this work. 11 representative wavelength points are selected from each original UV spectral data, based on correlation coefficients and standard deviations of the observed data. A family of subsets with a finite compact frame is built to solve the problems of high redundancy and training difficultly involved in an adaptive wavelet neural network (AWNN). The predicted results, with the fitting relation coefficient (R=0 99737) and the standard deviation (SD=0 30254), are satisfactory.
Keywords:Wavelet neural network   UV spectra   Determination of multicomponents   B|group vitamins
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