Nonlinear Time Series Prediction by Weighted Vector Quantization

A. Lendasse; D. Francois; V. Wertz; M. Verleysen

Nonlinear Time Series Prediction by Weighted Vector Quantization

A. Lendasse, D. Francois, V. Wertz, M. Verleysen

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

Original language	English
Pages (from-to)	1056-1067
Journal	Future Generation Computer Systems
Volume	21
Issue number	7
Publication status	Published - 2005
MoE publication type	A1 Journal article-refereed

Keywords

missing data
radial-basis function networks
time-series prediction
vector quantization

Cite this

@article{a4c303c67f734576871e9a9a616d5f32,

title = "Nonlinear Time Series Prediction by Weighted Vector Quantization",

keywords = "missing data, radial-basis function networks, time-series prediction, vector quantization, missing data, radial-basis function networks, time-series prediction, vector quantization, missing data, radial-basis function networks, time-series prediction, vector quantization",

author = "A. Lendasse and D. Francois and V. Wertz and M. Verleysen",

year = "2005",

language = "English",

volume = "21",

pages = "1056--1067",

journal = "Future Generation Computer Systems",

publisher = "Elsevier",

number = "7",

}

TY - JOUR

T1 - Nonlinear Time Series Prediction by Weighted Vector Quantization

AU - Lendasse, A.

AU - Francois, D.

AU - Wertz, V.

AU - Verleysen, M.

PY - 2005

Y1 - 2005

KW - missing data

KW - radial-basis function networks

KW - time-series prediction

KW - vector quantization

KW - missing data

KW - radial-basis function networks

KW - time-series prediction

KW - vector quantization

KW - missing data

KW - radial-basis function networks

KW - time-series prediction

KW - vector quantization

M3 - Article

VL - 21

SP - 1056

EP - 1067

JO - Future Generation Computer Systems

JF - Future Generation Computer Systems

IS - 7

ER -