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《Journal of Northeast Dianli University》 2011-02
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Mean residence time experiment and prediction of oil shale in rotary retorting

LI Shao-hua1,YU Kan-sheng1,ZHANG Li-dong2,ZHANG Xuan1(1.Engineering Research Centre of Ministry of Education for Comprehensive Utilization of Oil Shale,Northeast Dianli University,Jilin Jilin 132012;2.North China of Electric Power University,Beijing 102206)  
In order to improve the accuracy of predicting performance for the mean residence time,a support vector machine(SVM)model is employed,and parameters of the SVM model optimized by gridregression and best parameters were obtained.The compositions of the operation and structure parameters were employed as inputs,and the mean residence time was used as output of the SVM model.The model was verified with the experiment datum,result of prediction by the optimized SVM model was compared with the test datum,and the result show the SVM model has achieved good predicting performance for both the mean residence time.This article builds an empirical equation of mean residence time by experimental value and motion model,and the results indicate:the relative mean squared error of the empirical equation fitting curve is 0.05,with a good fitting effect.
【Fund】: 吉林省重大科技攻关项目(20096034)
【CateGory Index】: TE662
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