The Research of Least Square Support Vector Machine Model and Its Simplified Method

被引：0
|
作者：
Zhao Wen-jie [1 ]
Zhang Tao [1 ]
机构：
[1] North China Elect Power Univ, Dept Automat, Baoding 071003, Hebei, Peoples R China
来源：
INDUSTRIAL INSTRUMENTATION AND CONTROL SYSTEMS, PTS 1-4 | 2013年 / 241-244卷
关键词：
Least Square Support Vector Machine; modeling; complexity of model; simplify;
D O I：
10.4028/www.scientific.net/AMM.241-244.1719
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A simplified structure of the least square support vector machine (LS-SVM) model is proposed in this paper. Under the premise that the accuracy of LS-SVM model is unchanged, a small amount of training samples are chosen, which further fit this model by LS-SVM modeling. Finally, a typical nonlinear problem is taken as example to test the performance of this simplified model and the simulation results show that this simplified method proposed in this paper is effective.
引用
收藏
页码：1719 / 1723
页数：5
相关论文
共 50 条
  • [1] Relation between a support vector machine and the least square method
    Yan, Hui
    Zhang, Xuegong
    Li, Yanda
    Qinghua Daxue Xuebao/Journal of Tsinghua University, 2001, 41 (09): : 77 - 80
  • [2] Least Square Transduction Support Vector Machine
    Rui Zhang
    Wenjian Wang
    Yichen Ma
    Changqian Men
    Neural Processing Letters, 2009, 29 : 133 - 142
  • [3] Least Square Transduction Support Vector Machine
    Zhang, Rui
    Wang, Wenjian
    Ma, Yichen
    Men, Changqian
    NEURAL PROCESSING LETTERS, 2009, 29 (02) : 133 - 142
  • [4] Selective Ensemble Least Square Support Vector Machine with Its Application
    Tang, J.
    Qiao, J. F.
    Liu, Z.
    Wu, Z. W.
    Zhou, X. J.
    Yu, G.
    Zhao, J. J.
    IFAC PAPERSONLINE, 2018, 51 (18): : 631 - 636
  • [5] Weighted Least Square - Support Vector Machine
    Cuong Nguyen The
    Phung Huynh The
    2021 RIVF INTERNATIONAL CONFERENCE ON COMPUTING AND COMMUNICATION TECHNOLOGIES (RIVF 2021), 2021, : 168 - 173
  • [6] Research on Prediction Model of Cable Line Cost Based on Least Square Support Vector Machine
    Yu, Bo
    Gou, Ruixin
    Ju, Xin
    Wei, Dongni
    2019 5TH INTERNATIONAL CONFERENCE ON ENERGY EQUIPMENT SCIENCE AND ENGINEERING, 2020, 461
  • [7] A prediction model of specific productivity index using least square support vector machine method
    Wu, Chunxin
    Wang, Shaopeng
    Yuan, Jianwei
    Li, Chao
    Zhang, Qi
    ADVANCES IN GEO-ENERGY RESEARCH, 2020, 4 (04): : 460 - 467
  • [8] RESEARCH ON APPLICATION OF LIMIT LEARNING METHOD AND LEAST SQUARE SUPPORT VECTOR MACHINE IN ECOLOGICAL EMISSION PREDICTION
    Chen, Guobin
    Liu, Jun
    He, Gang
    FRESENIUS ENVIRONMENTAL BULLETIN, 2019, 28 (12): : 9223 - 9229
  • [9] Least Square Support Vector Machine for the Simultaneous Learning of a Function and Its Derivative
    Zhang, Rui
    Liu, Guozhen
    ADVANCED RESEARCH ON ELECTRONIC COMMERCE, WEB APPLICATION, AND COMMUNICATION, PT 1, 2011, 143 : 427 - +
  • [10] Nonparallel least square support vector machine for classification
    Jiang Zhao
    Zhiji Yang
    Yitian Xu
    Applied Intelligence, 2016, 45 : 1119 - 1128
12345