Publication detail
Stability of backpropagation learning rule
KRUPANSKÝ, P., PIVOŇKA, P.
Original Title
Stability of backpropagation learning rule
Type
conference paper
Language
English
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.
Keywords
Neural networks, ARMA model, control, back-propagation, stability, the largest singular value, Euclidean norm
Authors
KRUPANSKÝ, P., PIVOŇKA, P.
RIV year
2003
Released
15. 9. 2003
Publisher
Rektor der Hochschule Zittau/Gorlitz
Location
Zittau, Germany
ISBN
3-9808089-4-7
Book
Third EUSFLAT Proceedings
Edition
Neuveden
Edition number
1
Pages from
369
Pages to
374
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"
}