| 偏最小二乘-神经网络光度法同时测定钢中钨和钼 |
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| 引用本文： | 于洪海,张新平,胡云峰.偏最小二乘-神经网络光度法同时测定钢中钨和钼[J].冶金分析,2004,24(2):1-1. |
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| 作者姓名： | 于洪海 张新平 胡云峰 |
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| 作者单位： | 鞍山科技大学化工学院,鞍山科技大学化工学院,鞍山科技大学化工学院 辽宁鞍山 114034 ,辽宁鞍山 114034,辽宁鞍山 114034 |
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| 摘 要： | 在钨(钼)-2,4 二氯苯基荧光酮-CTMAB显色体系中,用偏最小二乘法(PLS)与神经网络(NN)联用辅助分光光度法,不经分离,同时测定合金钢中钨和钼。经比较,结果优于PLS法和BP神经网络法。
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| 关 键 词： | 钨 钼 神经网络 偏最小二乘法 |
| 文章编号： | 1000-7571(2004)02-0010-03 |
| 修稿时间： | 2003年4月10日 |
Simultaneous determination of tungsten and molybdenum in steel by neural network combined with partial - least - squares spectrphotometry |
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| YU Hong-mei,ZHANG Xin-ping,HU Yun-feng.Simultaneous determination of tungsten and molybdenum in steel by neural network combined with partial - least - squares spectrphotometry[J].Metallurgical Analysis,2004,24(2):1-1. |
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| Authors: | YU Hong-mei ZHANG Xin-ping HU Yun-feng |
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| Abstract: | A new algorithm of neural network was proposed by combining with partial least squares method. The method was applied to simultaneous determination of tungsten and molybdenum by spectrophotomeytry without separation. The conditions of simultaneous determination of (W?) and Mo? by color reaction of (W?,) Mo? with 2,4-dichlorophenyl fluorone in the presence of CTMAB were researched. The method was applied to the determination of tungsten and molybdenum in steel sample with satisfactory results. After compared with results, the method was prier to partial least squares method or BP neural network method. |
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| Keywords: | tungsten molybdenum 2 4-dichlorophenyl neural network partial least squares |
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