Least squares support vector machine regression with boundary condition

Yan Weiwu; Zhang Mingguang; Zhang Chunkai; Shao Huihe

doi:10.1109/ICNNSP.2003.1279217

Least squares support vector machine regression with boundary condition

Yan Weiwu^*
, Zhang Mingguang
, Zhang Chunkai
, Shao Huihe

^*Corresponding author for this work

Shanghai Jiao Tong University
Lanzhou University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Regression plays an important role in signal processing, identifying and modeling. This paper proposes a regression algorithm based on least squares support vector machine. In the algorithm, the equality constraints without errors term are adopted at the point with boundary condition. The equality constraints without errors term force the regression model to pass through the given special points and satisfy boundary condition. The algorithm is applied to sinc function regression and good performances are obtained. The proposed algorithm provides a new attempt for regression with boundary condition.

Original language	English
Title of host publication	Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Pages	79-81
Number of pages	3
DOIs	https://doi.org/10.1109/ICNNSP.2003.1279217
State	Published - 2003
Externally published	Yes
Event	2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 - Nanjing, China Duration: 14 Dec 2003 → 17 Dec 2003

Publication series

Name	Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Volume	1

Conference

Conference	2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Country/Territory	China
City	Nanjing
Period	14/12/03 → 17/12/03

Access to Document

10.1109/ICNNSP.2003.1279217

Cite this

Weiwu, Y., Mingguang, Z., Chunkai, Z., & Huihe, S. (2003). Least squares support vector machine regression with boundary condition. In Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 (pp. 79-81). Article 1279217 (Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03; Vol. 1). https://doi.org/10.1109/ICNNSP.2003.1279217

@inproceedings{39ce6dce77914aaaaaec2585aaf7cf50,

title = "Least squares support vector machine regression with boundary condition",

abstract = "Regression plays an important role in signal processing, identifying and modeling. This paper proposes a regression algorithm based on least squares support vector machine. In the algorithm, the equality constraints without errors term are adopted at the point with boundary condition. The equality constraints without errors term force the regression model to pass through the given special points and satisfy boundary condition. The algorithm is applied to sinc function regression and good performances are obtained. The proposed algorithm provides a new attempt for regression with boundary condition.",

author = "Yan Weiwu and Zhang Mingguang and Zhang Chunkai and Shao Huihe",

year = "2003",

doi = "10.1109/ICNNSP.2003.1279217",

language = "英语",

isbn = "0780377028",

series = "Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03",

pages = "79--81",

booktitle = "Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03",

note = "2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 ; Conference date: 14-12-2003 Through 17-12-2003",

}

Weiwu, Y, Mingguang, Z, Chunkai, Z & Huihe, S 2003, Least squares support vector machine regression with boundary condition. in Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03., 1279217, Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03, vol. 1, pp. 79-81, 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03, Nanjing, China, 14/12/03. https://doi.org/10.1109/ICNNSP.2003.1279217

Least squares support vector machine regression with boundary condition. / Weiwu, Yan; Mingguang, Zhang; Chunkai, Zhang et al.
Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03. 2003. p. 79-81 1279217 (Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Least squares support vector machine regression with boundary condition

AU - Weiwu, Yan

AU - Mingguang, Zhang

AU - Chunkai, Zhang

AU - Huihe, Shao

PY - 2003

Y1 - 2003

N2 - Regression plays an important role in signal processing, identifying and modeling. This paper proposes a regression algorithm based on least squares support vector machine. In the algorithm, the equality constraints without errors term are adopted at the point with boundary condition. The equality constraints without errors term force the regression model to pass through the given special points and satisfy boundary condition. The algorithm is applied to sinc function regression and good performances are obtained. The proposed algorithm provides a new attempt for regression with boundary condition.

AB - Regression plays an important role in signal processing, identifying and modeling. This paper proposes a regression algorithm based on least squares support vector machine. In the algorithm, the equality constraints without errors term are adopted at the point with boundary condition. The equality constraints without errors term force the regression model to pass through the given special points and satisfy boundary condition. The algorithm is applied to sinc function regression and good performances are obtained. The proposed algorithm provides a new attempt for regression with boundary condition.

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U2 - 10.1109/ICNNSP.2003.1279217

DO - 10.1109/ICNNSP.2003.1279217

M3 - 会议稿件

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SN - 9780780377028

T3 - Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03

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BT - Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03

T2 - 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03

Y2 - 14 December 2003 through 17 December 2003

ER -

Weiwu Y, Mingguang Z, Chunkai Z, Huihe S. Least squares support vector machine regression with boundary condition. In Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03. 2003. p. 79-81. 1279217. (Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03). doi: 10.1109/ICNNSP.2003.1279217

Least squares support vector machine regression with boundary condition

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