Simultaneous Forecast for Three Speciations of Heavy Metal Elements Using Fuzzy Cluster-Artificial Neural Network  

作　　者：ZHAO Tian-qi MENG Fan-yu WANG Hong-yan GAO Yan 

机构地区：[1]College of Chemistry,Jilin University,Changchun 130012,P.R.China

出　　处：《Chemical Research in Chinese Universities》2012年第5期802-806,共5页高等学校化学研究（英文版）

基　　金：Supported by the National Natural Science Foundation of China(No.29975004)

摘　　要：The three speciations（water extract, adsorption and organic speciations） of Cu, Zn, Fe and Mn in geo-chemical samples were determined by fuzzy cluster-artificial neural network（FC-ANN） method coupled with atomic absorption spectrometry. A back-propagation artificial neural network with one input node and three export nodes was constructed, which could forecaste three speciations of heavy metals simultaneously. In the learning sample set, the three speciations of each element were allowed to change in a wide concentration range and the accuracy of the analysis was apparently increased via the learning sample set optimized with the help of the fuzzy cluster analysis. The average relative errors of the three speciations of Cu, Zn, Fe or Mn from 100 geo-chemical samples were less than 5%. The relative standard deviations of the three speciations of each of four heavy metals were 0.008%―4.43%.The three speciations（water extract, adsorption and organic speciations） of Cu, Zn, Fe and Mn in geo-chemical samples were determined by fuzzy cluster-artificial neural network（FC-ANN） method coupled with atomic absorption spectrometry. A back-propagation artificial neural network with one input node and three export nodes was constructed, which could forecaste three speciations of heavy metals simultaneously. In the learning sample set, the three speciations of each element were allowed to change in a wide concentration range and the accuracy of the analysis was apparently increased via the learning sample set optimized with the help of the fuzzy cluster analysis. The average relative errors of the three speciations of Cu, Zn, Fe or Mn from 100 geo-chemical samples were less than 5%. The relative standard deviations of the three speciations of each of four heavy metals were 0.008%―4.43%.

关 键 词：Fuzzy cluster Artificial neural network SPECIATION 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] O159[自动化与计算机技术—控制科学与工程]