Publication result detail

Stability of backpropagation learning rule

KRUPANSKÝ, P., PIVOŇKA, P.

Original Title

Stability of backpropagation learning rule

English Title

Stability of backpropagation learning rule

Type

Paper in proceedings (conference paper)

Original Abstract

A control of real processes requires different approach to neural network learning. The presented modification of backpropagation learning algorithm changes a meaning of learning constants. A base of modification is stability condition of learning dynamics.

English abstract

A control of real processes requires different approach to neural network learning. The presented modification of backpropagation learning algorithm changes a meaning of learning constants. A base of modification is stability condition of learning dynamics.

Keywords

Neural networks, ARMA model, control, back-propagation, stability, the largest singular value, Euclidean norm

Key words in English

Neural networks, ARMA model, control, back-propagation, stability, the largest singular value, Euclidean norm

Authors

KRUPANSKÝ, P., PIVOŇKA, P.

RIV year

2011

Released

15.09.2003

Publisher

Rektor der Hochschule Zittau/Gorlitz

Location

Zittau, Germany

ISBN

3-9808089-4-7

Book

Third EUSFLAT Proceedings

Edition

Neuveden

Volume

Neuveden

Pages from

369

Pages count

6

BibTex

@inproceedings{BUT8168,
  author="Petr {Krupanský} and Petr {Pivoňka}",
  title="Stability of backpropagation learning rule",
  booktitle="Third EUSFLAT Proceedings",
  year="2003",
  series="Neuveden",
  volume="Neuveden",
  number="1",
  pages="6",
  publisher="Rektor der Hochschule Zittau/Gorlitz",
  address="Zittau, Germany",
  isbn="3-9808089-4-7"
}