A novel online adaptive kernel method with kernel centers determined by a support vector regression approach

L Sun; CC de Visser; QP Chu; JA Mulder

doi:10.1016/j.neucom.2013.07.023

A novel online adaptive kernel method with kernel centers determined by a support vector regression approach

L Sun, CC de Visser, QP Chu, JA Mulder

Control & Simulation

Research output: Contribution to journal › Article › Scientific › peer-review

8 Citations (Scopus)

Original language	English
Pages (from-to)	111-119
Number of pages	9
Journal	Neurocomputing
Volume	124
Issue number	January
DOIs	https://doi.org/10.1016/j.neucom.2013.07.023
Publication status	Published - 2014

Bibliographical note

Online 20-08-2013

Keywords

CWTS 0.75 <= JFIS < 2.00

Access to Document

10.1016/j.neucom.2013.07.023

Cite this

@article{3523ff3685fd49a1b06e90b331135846,

title = "A novel online adaptive kernel method with kernel centers determined by a support vector regression approach",

keywords = "CWTS 0.75 <= JFIS < 2.00",

author = "L Sun and {de Visser}, CC and QP Chu and JA Mulder",

note = "Online 20-08-2013",

year = "2014",

doi = "10.1016/j.neucom.2013.07.023",

language = "English",

volume = "124",

pages = "111--119",

journal = "Neurocomputing",

issn = "0925-2312",

publisher = "Elsevier",

number = "January",

}

TY - JOUR

T1 - A novel online adaptive kernel method with kernel centers determined by a support vector regression approach

AU - Sun, L

AU - de Visser, CC

AU - Chu, QP

AU - Mulder, JA

N1 - Online 20-08-2013

PY - 2014

Y1 - 2014

KW - CWTS 0.75 <= JFIS < 2.00

U2 - 10.1016/j.neucom.2013.07.023

DO - 10.1016/j.neucom.2013.07.023

M3 - Article

SN - 0925-2312

VL - 124

SP - 111

EP - 119

JO - Neurocomputing

JF - Neurocomputing

IS - January

ER -