Detail publikace
The Behavior of LWPR Method on Approximation of Multivariable Functions
JANDORA, R.
Anglický název
The Behavior of LWPR Method on Approximation of Multivariable Functions
Typ
Stať ve sborníku v databázi WoS či Scopus
Jazyk
en
Originální abstrakt
Locally Weighted Projection Regression is an incremental approximation method used in real-time control. It was developed to approximate functions with high-dimensional inputs. When used for problems with multivariable outputs, this algorithm has serious problems when trying to approximate such function. This is caused by simplifications used when creating the incremental version of the statistical method for the local linear model. These simplifications limit the usage of the LWPR method to functions with single-variable output.
Klíčová slova anglicky
LWPR; locally weighted learning
Vydáno
2005-05-26
Nakladatel
Ing. Zdeněk Novotný, CSc., Ondráčkova 105, Brno
Místo
Brno
ISBN
80-214-2942-9
Kniha
Honeywell EMI 2005 Proceedings of the International Interdisciplinary Student Competition and Conference
Strany od–do
105–109
Počet stran
5
BIBTEX
@inproceedings{BUT17975,
author="Radek {Jandora}",
title="The Behavior of LWPR Method on Approximation of Multivariable Functions",
booktitle="Honeywell EMI 2005 Proceedings of the International Interdisciplinary Student Competition and Conference",
year="2005",
number="1.",
pages="105--109",
publisher="Ing. Zdeněk Novotný, CSc., Ondráčkova 105, Brno",
address="Brno",
isbn="80-214-2942-9"
}