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《Journal of Anhui University of Technology and Science》 2004-02
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A model and application of soft-sensor based on support vector machine

TAO Xiu-feng~1,TANG Shi-zhong~1,ZHOU Ming-zheng~2 (1.Dept.of Elec., Anhui University of Technology and Science, Wuhu 241000, China; 2.Dept. of Comp. Sci. & Engn., Anhui University of Technology and Science ,Wuhu 241000,China)  
The support vector machine(SVM) is an algorithm based on structure risk minimizing principle and having high generalization ability. In the course of soft-sensor, sensor has bigger nonlinearity and fuzzy relation between coefficient and relevant parameter. We put forward a kind of soft-sensor models and algorithms based on the Support Vector machine. The soft-sensor model offers a kind of effective way for small sample space, non-linearity, high dimensions. The application to "paper moisture content online measuring system" shows that the model and algorithm of soft-sensor based on SVM all have certain superiority in measuring precision and performance of popularizing.
【Fund】: 安徽省教育厅自然科学基金资助项目(2004kj033zd)
【CateGory Index】: TP274.4
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