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Intelligent Forecasting of Sintered Ore’s Chemical Components Based on SVM

Intelligent Forecasting of Sintered Ore’s Chemical Components Based on SVM
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摘要 Using object mathematical model of traditional control theory can not solve the forecasting problem of the chemical components of sintered ore.In order to control complicated chemical components in the manufacturing process of sintered ore,some key techniques for intelligent forecasting of the chemical components of sintered ore are studied in this paper.A new intelligent forecasting system based on SVM is proposed and realized.The results show that the accuracy of predictive value of every component is more than 90%.The application of our system in related companies is for more than one year and has shown satisfactory results. Using object mathematical model of traditional control theory can not solve the forecasting problem of the chemical components of sintered ore.In order to control complicated chemical components in the manufacturing process of sintered ore,some key techniques for intelligent forecasting of the chemical components of sintered ore are studied in this paper.A new intelligent forecasting system based on SVM is proposed and realized.The results show that the accuracy of predictive value of every component is more than 90%.The application of our system in related companies is for more than one year and has shown satisfactory results.
作者 钟珞 王清波
出处 《Journal of Wuhan University of Technology(Materials Science)》 SCIE EI CAS 2011年第3期583-587,共5页 武汉理工大学学报(材料科学英文版)
基金 Supported by Key Science and Technology Project of Wuhan(No. 20106062327) Self-determined and Innovative Research Funds of WUT (No.2010-YB-20)
关键词 sintered ore support vector machine intelligent forecasting nonlinear regression optimized control sintered ore support vector machine intelligent forecasting nonlinear regression optimized control
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