Application of Soft Sensor based on LS-SVM on Estimation of Alumina Powder Flow

被引：2
|
作者：
Lu, Chunyan [1 ]
Li, Wei [1 ]
Liu, Weirong [1 ]
机构：
[1] Lanzhou Univ Technol, Sch Elect & Informat Engn, Lanzhou 730050, Gansu, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, VOL I | 2009年
关键词：
Least Square Support Vector Machine; alumina powder flow; soft sensor; RBF;
D O I：
10.1109/ICMTMA.2009.236
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Alumina powder flow in electrolytic aluminum plant for the production of alumina can not be precise measured on-line, the Least Squares Support Vector Machines (LS - SVM) was applied in the modeling of alumina powder flow estimation in the process of alumina conveying in this paper, and the soft sensor model based on LS - SVM was compared with the soft sensor model based on RBF. The result of simulation research proves that the soft sensor model based on LS - SVM has a higher precision accuracy and better generalization ability. The soft sensor technique is effective in estimate accuracy of the alumina powder flow.
引用
收藏
页码：281 / 284
页数：4
相关论文
共 50 条
  • [41] Fuzzy LS-SVM classifier based on chaos genetic algorithm and its application
    Wang H.-J.
    Deng F.-Q.
    Chen Z.-M.
    Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), 2011, 39 (05): : 49 - 54
  • [42] LS-SVM Combination Prediction Technique Based on Prediction Correlation and Its Application
    Xu, Baohua
    Han, Dong
    FOUNDATIONS OF INTELLIGENT SYSTEMS (ISKE 2013), 2014, 277 : 559 - 566
  • [43] Parameters Selection and Application of LS-SVM Based on Chaotic Ant Swarm Algorithm
    Xie, Chun-li
    Zhao, Dan-dan
    Wang, Juan
    Shao, Cheng
    ADVANCED RESEARCH ON INDUSTRY, INFORMATION SYSTEMS AND MATERIAL ENGINEERING, PTS 1-7, 2011, 204-210 : 423 - +
  • [44] Parameter Design of LS-SVM Based on QPSO And Its Application to Node Localization
    Lin, Guohu
    Lou, Xu Y.
    Cui, B. T.
    MECHANICAL DESIGN AND POWER ENGINEERING, PTS 1 AND 2, 2014, 490-491 : 542 - 545
  • [45] Document classification algorithm based on MMP and LS-SVM
    Wang, Ziqiang
    Sun, Xia
    CEIS 2011, 2011, 15
  • [46] Blind nonlinear system identification based on LS-SVM
    Zhu, Yanfei
    Zhang, Yun
    Tan, Hongzhou
    Li, Zhonghua
    DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2006, 13 : 658 - 661
  • [47] Study of Myoelectric Prostheses Based on Improved LS-SVM
    Yang Guangying
    PROCEEDINGS OF THE SECOND INTERNATIONAL SYMPOSIUM ON TEST AUTOMATION AND INSTRUMENTATION, VOL 4, 2008, : 2119 - 2122
  • [48] Tissue Classification Algorithm Based on NPE and LS-SVM
    Sun Xia
    Wang Zi-qiang
    2009 IEEE INTERNATIONAL SYMPOSIUM ON IT IN MEDICINE & EDUCATION, VOLS 1 AND 2, PROCEEDINGS, 2009, : 1146 - 1149
  • [49] New classifier based on compressed dictionary and LS-SVM
    Sun, Chen
    Jiao, Licheng
    Liu, Hongying
    Yang, Shuyuan
    NEUROCOMPUTING, 2016, 216 : 617 - 626
  • [50] Face recognition based on improved LBP and LS-SVM
    Sun, Jin-guang
    Li, Yang
    Yang, Xin-Nian
    Wang, Jun-Tao
    MEMS, NANO AND SMART SYSTEMS, PTS 1-6, 2012, 403-408 : 3249 - 3252
12345