Deep Sparse Least Squares Support Vector Machines Based on the Sparrow Search Algorithm

被引:0
|
作者
Xu, Songsong [1 ]
Liu, Shanshan [2 ]
机构
[1] School of Information Engineering, Chengdu Vocational & Technical College of Industrys, Chengdu,610218, China
[2] School of technology, Asia Pacific University of Technology & Innovation, Kuala Lumpur,56000, Malaysia
来源
Journal of Network Intelligence | 2023年 / 8卷 / 04期
关键词
D O I
暂无
中图分类号
学科分类号
摘要
28
引用
收藏
页码:1358 / 1372
相关论文
共 50 条
  • [21] Weighted least squares support vector machines: robustness and sparse approximation
    Suykens, JAK
    De Brabanter, J
    Lukas, L
    Vandewalle, J
    NEUROCOMPUTING, 2002, 48 : 85 - 105
  • [22] Sparse Least Squares Support Vector Machines via Genetic Algorithms
    Silva, Juliana Peixoto
    da Rocha Neto, Ajalmar R.
    2013 1ST BRICS COUNTRIES CONGRESS ON COMPUTATIONAL INTELLIGENCE AND 11TH BRAZILIAN CONGRESS ON COMPUTATIONAL INTELLIGENCE (BRICS-CCI & CBIC), 2013, : 248 - 253
  • [23] Least squares support vector machines based on improved clonal selection algorithm
    State Key Laboratory of Chemical Engineering, East China University of Science and Technology, Shanghai 200237, China
    Hua Dong Li Gong Da Xue/J East China Univ Sci Technol, 2008, 5 (729-733): : 729 - 733
  • [24] Recursive Update Algorithm for Least Squares Support Vector Machines
    Hoi-Ming Chi
    Okan K. Ersoy
    Neural Processing Letters, 2003, 17 : 165 - 173
  • [25] Recursive update algorithm for least squares support vector machines
    Chi, HM
    Ersoy, OK
    NEURAL PROCESSING LETTERS, 2003, 17 (02) : 165 - 173
  • [26] Sparse least squares support vector machines by forward selection based on linear discriminant analysis
    Abe, Shigeo
    ARTIFICIAL NEURAL NETWORKS IN PATTERN RECOGNITION, PROCEEDINGS, 2008, 5064 : 54 - 65
  • [27] Sparse Least Squares Support Vector Machines Based on Genetic Algorithms: A Feature Selection Approach
    Machado Araujo, Pedro Hericson
    Rocha Neto, Ajalmar R.
    ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2019, PT II, 2019, 11507 : 500 - 511
  • [28] An Improved Active Learning Sparse Least Squares Support Vector Machines for Regression
    Si Gangquan
    Shi Jianquan
    Guo Zhang
    Gao Hong
    2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2015, : 4558 - 4562
  • [29] Combustion process modeling based on deep sparse least squares support vector regression
    Zheng, Wei
    Wang, Chao
    Liu, Da
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 132
  • [30] Nonlinear multifunctional sensor signal reconstruction based on least squares support vector machines and total least squares algorithm
    Liu, Xin
    Wei, Guo
    Sun, Jin-wei
    Liu, Dan
    JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A, 2009, 10 (04): : 497 - 503