全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Least Squares Support Vector Machine on Morlet Wavelet Kernel Function and its Application to Nonlinear System Identification

Keywords: SVM , support vector kernel function , Morlet wavelet kernel function , LS-MWSVM

Full-Text   Cite this paper   Add to My Lib

Abstract:

The kernel function of Support Vector Machine (SVM) is an important factor for the learning result of SVM. Based on the wavelet decomposition and conditions of the support vector kernel function, Morlet wavelet kernel function for SVM is proposed. This function is not only a kind of orthonormal function, but also suitable for local signal analysis, signal-noise separation and detection of jumping signals, thus it enhances the generalization ability of the SVM. According to the wavelet kernel function and the regularization theory, Least squares support vector machine on Morlet wavelet kernel function (LS-MWSVM) is proposed to greatly simplify the solving process of MWSVM. The LS-MWSVM is then applied to the nonlinear system identification to test the validity of the Morlet wavelet kernel function. Computer simulations show that the modeling ability is improved and computation burden is alleviated, comparing with LS-SVM whose kernel function is Gaussian function.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133