Weighted prediction method with multiple time series using multi-kernel least squares support vector regression

被引：0
|
作者：
Guo, Yang-Ming [1 ]
Ran, Cong-Bao [1 ]
Li, Xiao-Lei [1 ]
Ma, Jie-Zhong [1 ]
Zhang, Lu [1 ]
机构：
[1] School of Computer Science and Technology, Northwestern Polytechnical University, Youyi West Road 127, Xi'an Shaanxi, 710072, China
来源：
Eksploatacja i Niezawodnosc | 2013年 / 15卷 / 02期
关键词：
37;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：188 / 194
相关论文
共 50 条
  • [1] WEIGHTED PREDICTION METHOD WITH MULTIPLE TIME SERIES USING MULTI-KERNEL LEAST SQUARES SUPPORT VECTOR REGRESSION
    Guo, Yang-Ming
    Ran, Cong-Bao
    Li, Xiao-Lei
    Ma, Jie-Zhong
    Zhang, Lu
    [J]. EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY, 2013, 15 (02): : 188 - 194
  • [2] Chaotic time series prediction based on multi-kernel learning support vector regression
    Zhang Jun-Feng
    Hu Shou-Song
    [J]. ACTA PHYSICA SINICA, 2008, 57 (05) : 2708 - 2713
  • [3] Robust GRAPPA reconstruction using sparse multi-kernel learning with least squares support vector regression
    Xu, Lin
    Feng, Yanqiu
    Liu, Xiaoyun
    Kang, Lili
    Chen, Wufan
    [J]. MAGNETIC RESONANCE IMAGING, 2014, 32 (01) : 91 - 101
  • [4] Multi-parameter Prediction for Chaotic Time Series Based on Least Squares Support Vector Regression
    Ma Jiezhong
    Liu Yunchao
    Guo Yangming
    Zhao Xiaomin
    [J]. 2013 32ND CHINESE CONTROL CONFERENCE (CCC), 2013, : 6139 - 6142
  • [5] Weighted least squares support vector machine local region method for nonlinear time series prediction
    Quan, Tingwei
    Liu, Xiaomao
    Liu, Qian
    [J]. APPLIED SOFT COMPUTING, 2010, 10 (02) : 562 - 566
  • [6] SYSTEM IDENTIFICATION BASED ON MULTI-KERNEL LEAST SQUARES SUPPORT VECTOR MACHINES (MULTI-KERNEL LS-SVM)
    Tarhouni, Mounira
    Laabidi, Kaouther
    Lahmari-Ksouri, Moufida
    Zidi, Salah
    [J]. ICFC 2010/ ICNC 2010: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON FUZZY COMPUTATION AND INTERNATIONAL CONFERENCE ON NEURAL COMPUTATION, 2010, : 310 - 315
  • [7] An adaptive fuzzy predictive control of nonlinear processes based on Multi-Kernel least squares support vector regression
    Boulkaibet, I
    Belarbi, K.
    Bououden, S.
    Chadli, M.
    Marwala, T.
    [J]. APPLIED SOFT COMPUTING, 2018, 73 : 572 - 590
  • [8] Chaotic time series prediction using filtering window based least squares support vector regression
    Zhao Yong-Ping
    Zhang Li-Yan
    Li De-Cai
    Wang Li-Feng
    Jiang Hong-Zhang
    [J]. ACTA PHYSICA SINICA, 2013, 62 (12)
  • [9] Combination kernel function least squares support vector machine for chaotic time series prediction
    Tian Zhong-Da
    Gao Xian-Wen
    Shi Tong
    [J]. ACTA PHYSICA SINICA, 2014, 63 (16)
  • [10] Chaotic time series prediction using least squares support vector machines
    Ye, MY
    Wang, XD
    [J]. CHINESE PHYSICS, 2004, 13 (04): : 454 - 458
12345