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《Acta Electronica Sinica》 2008-04
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Support Vector Regression Based Reconstruction Algorithm for Concentrations of Ternary Solution

WEI Guo,LIU Xin,SUN Jin-wei,SUN Sheng-he(Department of Automatic Measurement and Control,Harbin Institute of Technology,Harbin,Heilongjiang 150001,China)  
Ternary solution with NaCl and sucrose is widely employed in the osmotic dehydration process of food.In this paper,a novel multifunctional sensor was adopted to online sense temperature,ultrasonic velocity and electrical conductivity of ternary solution.With these three measurable parameters as basis,this study laid emphasis on the support vector regression(SVR)method used to implement multifunctional sensor signal reconstruction,where the concentrations of two components in ternary solution with NaCl and sucrose can be simultaneously estimated.Support vector machine(SVM)is a new machine learning method based on structural risk minimization,which is well adapted to small sample size problem of calibration data and can efficiently restrain over-fitting and improve the generalization capability.The experimental results show that the mean absolute errors of the reconstructed concentrations of NaCl and sucrose for test data set are 0.00615 and 0.00369mol/kg,respectively.It could demonstrate the high reliability and high accuracy of the proposed reconstruction algorithm and verify the feasibility.
【Fund】: 国家自然科学基金(No.60772007 60672008);; 教育部留学回国人员科研启动基金(No.BAQQ24403602);; 中国博士后科学基金(No.20070410258)
【CateGory Index】: TS201.1
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【Co-citations】
China Proceedings of conference Full-text Database 10 Hits
1 Xiukuan Zhao~(a,b,*),Min Li~b,Jinwu Xu~b,Gangbing Song~c ~aBeijing National Observatory of Space Environment,Institute of Geology and Geophysics,Chinese Academy of Sciences,Beijing 100029,China ~bSchool of Mechanical Engineering,University of Science and Technology Beijing,Beijing 100083,China ~cDepartment of Mechanical Engineering,University of Houston,Houston,TX 77204,USA;An effective procedure exploiting unlabeled data to build monitoring system[A];[C];2012
2 Song Haiying ,Gui Weihua ,Yang Chunhua School of Information Science and Engineering,Central South University,Changsha,410083,P.R.China;Reduced Least Squares Support Vector Based on Kernel Partial Least Squares and Its Application Research[A];[C];2007
3 Wang Lianhong1,Zhang Guoyun 2,Zhang Jing1 1.College of Electrical and Information Engineering,Hunnan University,Changsha 410082,P.R.China2.Dept.of Physics and Electronics Information,Hunan Institute of Science and Technology,Yueyang,414006,P.R.China;A Novel Kernel PCA Support Vector Machine Algorithm with Feature Transition Function[A];[C];2007
4 Gu Xiaojun1,2,Yang Shixi1,Qian Suxiang2 1.College of Mechanical and Energy Engineering,Zhejiang University,Hangzhou,310027,P.R.China2.College of Mechanical Engineering,Jiaxing University,Jiaxing,China,314001,P.R.China;On Rotary Machine's Multi-Class Fault Recognition Based on SVM[A];[C];2007
5 Lv Peng1,Liu Yibing2,Ma Qiang2,Wei Yufan2 1.School of Mathematics and Physics,North China Electric Power University,Beijing 102206,P.R.China2.Department of automatics,North China Electric Power University,Beijing 102206,P.R.China;Gear Intelligent Fault Diagnosis Based on Support Vector Machines[A];[C];2007
6 Jiang Minghui,Yuan Xuchuan School of Management,Harbin Institute of Technology,Harbin 150001,P.R.China;Personal Credit Scoring Model Based on SVM Optimized by GA[A];[C];2007
7 Han Lu 1,Yu Zhengtao 1,2,Deng Jinhui 1,Zhang Cheng 1,Mao Cunli 2,Guo Jianyi 1,2 1.The School of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650051,P.R.China 2.The Institute of Intelligent Information Processing,Computer Technology Application Key Laboratory of Yunnan Province,Kunming 650051,P.R.China;The Effects of Domain Knowledge Relations on Domain Text Classification[A];[C];2008
8 Ma Wenxing1,Li Meng 1,2 1.Institute of Mechanical Science and Engineering,Jilin University,Changchun 130000,P.R.China 2.College of Mechanical Engineering,Changchun University,Changchun 130022,P.R.China;Fault Pattern Recognition of Rolling Bearings Based on Wavelet Packet and Support Vector Machine[A];[C];2008
9 Jiang Shaohua 1,2,Gui Weihua 1,Yang Chunhua 1,Tang Zhaohui1,Jiang Zhaohui1 1.School of Information Science and Engineering,Central South University,Changsha 410083,P.R.China 2.School of Information Science and Engineering,ShaoGuan University,ShaoGuan 512024,P.R.China;Method Based on Principal Component Analysis and Support Vector Machine and Its Application to Process Monitoring and Fault Diagnosis for Lead-Zinc Smelting Furnace[A];[C];2008
10 TIAN Yanbing Automation Engineering College,Qingdao Technological University,Qingdao Shandong 266520,P.R.China;Research on BP Algorithm and PSO Algorithm in the Neural Network[A];[C];2010
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