Research on regional economy prediction based on partial least squares support vector regression

被引:0
|
作者
Hongshan [1 ]
Ai, Junjun Shi [1 ]
机构
[1] Hunan University, Changsha, 410079, China
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:1645 / 1652
相关论文
共 50 条
  • [1] Fund Trend Prediction Based on least Squares Support Vector Regression
    Bao Yilan
    FOURTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2011): COMPUTER VISION AND IMAGE ANALYSIS: PATTERN RECOGNITION AND BASIC TECHNOLOGIES, 2012, 8350
  • [2] Reduced least squares support vector based on kernel partial least squares and its application research
    Song Haiying
    Gui Weihua
    Yang Chunhua
    PROCEEDINGS OF THE 26TH CHINESE CONTROL CONFERENCE, VOL 3, 2007, : 207 - +
  • [3] Forest coverage prediction based on least squares support vector regression algorithm
    Xiao, Fang
    TRENDS IN CIVIL ENGINEERING, PTS 1-4, 2012, 446-449 : 2978 - 2982
  • [4] Calorific Value Prediction of Coal Based on Least Squares Support Vector Regression
    Wang, Kuaini
    Zhang, Ruiting
    Li, Xujuan
    Ning, Hui
    INFORMATION TECHNOLOGY AND INTELLIGENT TRANSPORTATION SYSTEMS, VOL 1, 2017, 454 : 293 - 299
  • [5] A robust weighted least squares support vector regression based on least trimmed squares
    Chen, Chuanfa
    Yan, Changqing
    Li, Yanyan
    NEUROCOMPUTING, 2015, 168 : 941 - 946
  • [6] Approximate Confidence and Prediction Intervals for Least Squares Support Vector Regression
    De Brabanter, Kris
    De Brabanter, Jos
    Suykens, Johan A. K.
    De Moor, Bart
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 2011, 22 (01): : 110 - 120
  • [7] Research on Application of Regression Least Squares Support Vector Machine on Performance Prediction of Hydraulic Excavator
    Chen, Zhan-bo
    JOURNAL OF CONTROL SCIENCE AND ENGINEERING, 2014, 2014 (2014)
  • [8] Research on Rock Strength Prediction Based on Least Squares Support Vector Machine
    Li W.
    Tan Z.
    Geotechnical and Geological Engineering, 2017, 35 (1) : 385 - 393
  • [9] Comparison of partial least squares regression, least squares support vector machines, and Gaussian process regression for a near infrared calibration
    Cui, Chenhao
    Fearn, Tom
    JOURNAL OF NEAR INFRARED SPECTROSCOPY, 2017, 25 (01) : 5 - 14
  • [10] Using partial least squares and support vector machines for bankruptcy prediction
    Yang, Zijiang
    You, Wenjie
    Ji, Guoli
    EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (07) : 8336 - 8342