| 回转干馏炉内油页岩停留时间模型建立及其预测 |
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| 引用本文： | 李少华,余侃胜,张立栋,刘朝青,张进玺.回转干馏炉内油页岩停留时间模型建立及其预测[J].东北电力学院学报,2011(2):22-26. |
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| 作者姓名： | 李少华 余侃胜 张立栋 刘朝青 张进玺 |
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| 作者单位： | 东北电力大学油页岩综合利用教育部工程研究中心;华北电力大学; |
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| 基金项目： | 吉林省重大科技攻关项目(20096034) |
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| 摘 要： | 为了提高估算MRT精度,文中采用支持向量机算法对求解MRT问题进行了建模,并在一定约束条件下,利用Gridregression.py寻找回归最优参数方法对支持向量机模型的参数进行了优化,获得了最优的模型参数.支持向量机模型将操作参数和结构参数作为输入量,MRT作为输出量,用实验数据对模型进行了校验和参数的寻优,利用优化...
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| 关 键 词： | 油页岩 回转干馏炉 停留时间 支持向量机 拟合 |
Mean residence time experiment and prediction of oil shale in rotary retorting |
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| LI Shao-hua,YU Kan-sheng,ZHANG Li-dong,ZHANG Xuan.Mean residence time experiment and prediction of oil shale in rotary retorting[J].Journal of Northeast China Institute of Electric Power Engineering,2011(2):22-26. |
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| Authors: | LI Shao-hua YU Kan-sheng ZHANG Li-dong ZHANG Xuan |
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| Affiliation: | 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) |
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| Abstract: | 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... |
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| Keywords: | Oil shale Rotary retorting MRT SVM Fitting |
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