A System Identification Method for Linear Regression Models Based on Support Vector Machine

Shuichi ADACHI; Tomonori OGAWA; Ryugo KONNO

doi:10.9746/sicetr1965.37.1189

Transactions of the Society of Instrument and Control Engineers

Online ISSN : 1883-8189
Print ISSN : 0453-4654
ISSN-L : 0453-4654

A System Identification Method for Linear Regression Models Based on Support Vector Machine

Shuichi ADACHI, Tomonori OGAWA, Ryugo KONNO

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Keywords: support vector machine, support vector regression, system identification, regularization

JOURNAL FREE ACCESS

2001 Volume 37 Issue 12 Pages 1189-1191

DOI https://doi.org/10.9746/sicetr1965.37.1189

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Abstract

In this paper, a system identification method for linear regression models based on support vector machine is proposed. It is shown through a numerical example that the proposed identification method is robust for input-output data with outlier.

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