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《Journal of Anqing Teachers College(Natural Science Edition)》 2005-02
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Simultaneous Determination of Copper, Cobalt, Nickel and Zinc by Optimized Backpropagation Network with Levenberg-Marquart Algorithm

HE Chi-yang(The Chemistry Dept. of Anqing Teachers College, Anqing 246011,China)  
By means of the theory of artificial neural network and Levenberg-Marquardt back-propagation train algorithm, the four-component metal coordinate compounds of PAR-Cu, Co, Ni, Zn were determined simultaneously, in which the spectra overlapped severly. The mean recovery rate of Cu, Co, Ni, Zn were 100%, 99% , 101% and 99% individually. The results were better than those of radius network, modified BP network and common BP network in training speed and the accuracy. In conclusion, the new network spectrophotometry is a good choice for resolving multicomponent.
【Fund】: 安徽省教育厅自然科学研究项目(2002kj200)资助。
【CateGory Index】: O655
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