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人工神经网络分光光度法同时测定钼和铬
引用本文:高礼让,吴秀红,高志明,李复志,张爱莲.人工神经网络分光光度法同时测定钼和铬[J].光谱学与光谱分析,1999,19(2):244-246.
作者姓名:高礼让  吴秀红  高志明  李复志  张爱莲
作者单位:鞍山钢铁学院应用化学系,114002,鞍山
摘    要:在钼,铬-二溴羟基苯基荧光酮-CTMAB显色体系中,应用三层ANN-BP网络解析钼和铬的吸收光谱,不经分离分光光度法同时测定钼和铬。钼和铬的表观摩尔吸光系数分别为ε530=1.4×10^5L·mol^-1·cm^-1,ε512=3.7×10^4L·mol^-1·cm^-1。以合金钢中钼和铬进行了同时测定,结果满意。使用改进的BP算法,避免了神经网络学习过程中可能产生的麻痹现象,提出了目标向量的简单

关 键 词:人工神经网络  分光光度法  二溴羟基苯基荧光酮    

Simultaneous Determination of Molybdenum and Chromium by Artificial Neural Networks Spectrophotometry
Lirang GAO,Xiuhong WU,Zhiming GAO,Fuzhi LI,Ailian ZHANG.Simultaneous Determination of Molybdenum and Chromium by Artificial Neural Networks Spectrophotometry[J].Spectroscopy and Spectral Analysis,1999,19(2):244-246.
Authors:Lirang GAO  Xiuhong WU  Zhiming GAO  Fuzhi LI  Ailian ZHANG
Institution:Department of Applied Chemistry, Anshan Institute of Iron & Steel Technology, 114002 Anshan.
Abstract:In this paper, a three-layer artificial neural networks were applied to simultaneous determination of molybdenum and chromium by spectrophotometry. The apparent molar absorptivities of the complex of molybdenum and chromium are 1.4 x 10(5) L x mol(-1) x cm(-1) and 3.7 x 10(4) L x mol(-1) x cm(-1), respectively. A method has been developed for simultaneous determination of molybdenum and chromium in steel with satisfactory results. The paralysis in the procedure of training about ANN has been avoided with the improved back propagation algorithms. The simple transformation method for target vectors and criterion function convenient for selection of the parameters about the networks has been put foward.
Keywords:Artificial neural networks    Spectrophotometry    Dibromo  hydrophenyl  fluorone    Molybdenum    Chromium
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