支持向量回归-吸光光度法同时测定溶液中的Pb,Cd,Zn  

Support vector regression applied to simultaneous determination of Pb, Cd, Zn by spectrophotometric method

作　　者：陈念贻[1] 丁亚平 李国正[2] 叶晨洲[2] 吴庆生[3] 

机构地区：[1]上海大学理学院化学系计算机化学研究室,上海200436 [2]上海交通大学图象及模式识别研究所,上海200030 [3]同济大学化学系,上海200092

出　　处：《计算机与应用化学》2002年第6期717-718,共2页Computers and Applied Chemistry

基　　金：国家自然科学基金(批准号:20175013);上海市高校科技发展基金(01A17)

摘　　要：铅锌的湿法冶金实时监控需要同时快速测定溶液中的铅,镉,锌,因三者产生的吸收光谱严重重叠,故用支持向量回归算法(support vector regression,简称SVR)作多变量标定,配合吸光光度法同时测定溶液中的Pb^(2+)、Cd^(2+)、Zn^(2+),并将计算结果与线性回归、人工神经网络的计算结果对比。结果表明SVR算法预报误差最小。这说明支持向量回归是一种多变量校正的有用算法。In the hydrometallurgy of lead and zinc it is necessary to determine Pb, Cd and Zn simultaneously, but the absorption spectra of the complexes are overlapped to each other. A new method of data mining, support vector regression, has been applied to the multivariate calibra-tion in the simultaneous determination of Pb, Cd and Zn ions in aqueous solutions by spectrophotometric method. And the results of computa-tion have been compared with the corresponding results of linear regression and ANN. It has been found that the averaged accuracy of the results of support vector regression is better than the results obtained by linear regression or ANN. So that support vector regression should be considered as a promising computation method in calibration of analytical chemistry.

关 键 词：Pd CD ZN 支持向量回归 多变量校正 吸光光度法 铅 镉 锌 同时测定 湿法冶金 计算化学 数据处理 

分 类 号：TF803.2[冶金工程—有色金属冶金] TP181[自动化与计算机技术—控制理论与控制工程]