Least Squares Support Vector Machines Based on Support Vector Degrees

被引：1

作者：

Li, Lijuan ^{[1
]}

Li, Youfeng ^{[1
]}

Su, Hongye ^{[1
]}

Chu, Jian ^{[1
]}

机构：

[1] Zhejiang Univ, Natl Lab Ind Control Technol, Inst Adv Proc Control, Hangzhou 310027, Peoples R China

来源：

INTELLIGENT COMPUTING, PART I: INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING, ICIC 2006, PART I | 2006年 / 4113卷

关键词：

D O I：

10.1007/11816157_160

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A modified least squares support vector machines (LS-SVM) approach, which treats the training data points differently according to their different degrees of importance, is proposed in this paper. On each data point, a support vector degree is defined and it is associated with the corresponding absolute value of Lagrange multiplier. The experiment of identification of pH neutralization process with polluted measuring data is shown in this paper and the result indicates that the method is effective in identification of nonlinear system. By contrast with the basic LS-SVM, the result also shows the priority of the presented new algorithm.

引用

页码：1275 / 1281

页数：7

共 50 条

[41] Multivariate calibration with least-squares support vector machines
Thissen, U
Üstün, B
Melssen, WJ
Buydens, LMC
ANALYTICAL CHEMISTRY, 2004, 76 (11) : 3099 - 3105
[42] Improved sparse least-squares support vector machines
Cawley, GC
Talbot, NLC
NEUROCOMPUTING, 2002, 48 : 1025 - 1031
[43] Fuzzy least squares support vector machines for multiclass problems
Tsujinishi, D
Abe, S
NEURAL NETWORKS, 2003, 16 (5-6) : 785 - 792
[44] Least Squares Twin Support Vector Machines for Text Categorization
Kumar, M. Arun
Gopal, M.
PROCEEDINGS OF THE 2015 39TH NATIONAL SYSTEMS CONFERENCE (NSC), 2015,
[45] Sparse approximation using least squares support vector machines
Suykens, JAK
Lukas, L
Vandewalle, J
ISCAS 2000: IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS - PROCEEDINGS, VOL II: EMERGING TECHNOLOGIES FOR THE 21ST CENTURY, 2000, : 757 - 760
[46] Efficient Sparse Least Squares Support Vector Machines for Regression
Si Gangquan
Shi Jianquan
Guo Zhang
Zhao Weili
2014 33RD CHINESE CONTROL CONFERENCE (CCC), 2014, : 5173 - 5178
[47] Partially linear models and least squares support vector machines
Espinoza, M
Suykens, JAK
De Moor, B
2004 43RD IEEE CONFERENCE ON DECISION AND CONTROL (CDC), VOLS 1-5, 2004, : 3388 - 3393
[48] Additive survival least-squares support vector machines
Van Belle, V.
Pelckmans, K.
Suykens, J. A. K.
Van Huffel, S.
STATISTICS IN MEDICINE, 2010, 29 (02) : 296 - 308
[49] Pruning error minimization in least squares support vector machines
de Kruif, BJ
de Vries, TJA
IEEE TRANSACTIONS ON NEURAL NETWORKS, 2003, 14 (03): : 696 - 702
[50] Recursive Update Algorithm for Least Squares Support Vector Machines
Hoi-Ming Chi
Okan K. Ersoy
Neural Processing Letters, 2003, 17 : 165 - 173

← 1 2 3 4 5 →