Support vector machine for ultraviolet spectroscopic water quality analyzers

被引:0
作者
Du, SX [1 ]
Wu, XL [1 ]
Wu, TJ [1 ]
机构
[1] Zhejiang Univ, Inst Intelligent Syst & Decis Making, Natl Lab Ind Control Technol, Hangzhou 310027, Peoples R China
关键词
water quality analyzers; support vector machine; ultraviolet spectroscopy;
D O I
暂无
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
How to describe the correlation between the water quality parameter such as chemical oxygen demand (COD), biochemical oxygen demand (BOD), total organic carbon (TOC) and the ultraviolet (UV) spectroscopy is important for the UV water quality analyzers. A novel modeling method based on support vector machine (SVM) is proposed for UV water spectroscopic water quality analyzers in this paper. The estimating model obtained by this method shows obvious improvement in predicting ability and measurement accuracy. The experimental results show the proposed method has obvious advantage over the classical method such as partial least square.
引用
收藏
页码:1227 / 1230
页数:4
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