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人工神经网络分光光度法同时测定钼和铬

Simultaneous Determination of Molybdenum and Chromium by Artificial Neural Networks Spectrophotometry

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【作者】 高礼让吴秀红高志明李复志张爱莲

【Author】 Lirang GAO,Xiuhong WU,Zhiming GAO,Fuzhi LI and Ailian ZHANG Department of Applied Chemistry,Anshan Institute of Iron & Steel Technology,114002 Anshan

【机构】 鞍山钢铁学院应用化学系

【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=1.4×105Lmol-1cm-1,ε512=3.7×104Lmol-1cm-1。对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变换方法及便于网络参数选择的收敛评价函数。

【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 4×10 5 L·mol -1 ·cm -1 and 3 7×10 4 L·mol -1 ·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.

  • 【文献出处】 光谱学与光谱分析 ,SPECTROSCOPY AND SPECTRAL ANALYSIS , 编辑部邮箱 ,1999年02期
  • 【分类号】O657.32,O657.32
  • 【被引频次】8
  • 【下载频次】67
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