Publication 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
conference paper
Language
en
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
RIV year
2003
Released
15.09.2003
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
Documents
BibTex
@inproceedings{BUT8168,
author="Petr {Krupanský} and Petr {Pivoňka}",
title="Stability of backpropagation learning rule",
annote="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.",
address="Rektor der Hochschule Zittau/Gorlitz",
booktitle="Third EUSFLAT Proceedings",
chapter="8168",
edition="Neuveden",
institution="Rektor der Hochschule Zittau/Gorlitz",
year="2003",
month="september",
pages="369",
publisher="Rektor der Hochschule Zittau/Gorlitz",
type="conference paper"
}