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"
}