Detail publikace

The Algorithm for Choice of Samples in Training Set for Neural Networks

VYCHODIL, H., PIVOŇKA, P., KRUPANSKÝ, P.

Originální název

The Algorithm for Choice of Samples in Training Set for Neural Networks

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The paper deals with on-line system identification for adaptive controller construction. A regressive model is used for system modelling. The regressive function is realized in neural network. The problem of an increasing number of data for neural network learning is solved by the choice of patterns in the training set based on the distance between patterns in the space of regressive model state vectors. Furthermore, the choice of scale to set this distance is considered. The objective is minimization of empirical approaches to allow for automation and wide application.

Klíčová slova

Neural nets, model NARMAX, choice of patterns

Autoři

VYCHODIL, H., PIVOŇKA, P., KRUPANSKÝ, P.

Rok RIV

2002

Vydáno

4. 9. 2002

Nakladatel

Rektor der Hochschule Zittau/Görlitz

Místo

Zittau, Německo

ISBN

3-9808089-2-3

Kniha

Proceedings East West Fuzzy Colloquium 2002

Strany od

224

Strany do

229

Strany počet

6

BibTex

@inproceedings{BUT4917,
  author="Hynek {Vychodil} and Petr {Pivoňka} and Petr {Krupanský}",
  title="The Algorithm for Choice of Samples in Training Set for Neural Networks",
  booktitle="Proceedings East West Fuzzy Colloquium 2002",
  year="2002",
  pages="6",
  publisher="Rektor der Hochschule Zittau/Görlitz",
  address="Zittau, Německo",
  isbn="3-9808089-2-3"
}