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ŠKORPIL, V. ŠŤASTNÝ, J.
Originální název
Neural Networks and Back Propagation Algorithm
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
This paper describes our research about neural networks and back propagation algorithm. Back-propagation algorithm is based on minimization of neural network Back-propagation algorithm is an iterative method where the network gets from an initial non-learned state to the full learned one. The learning algorithm of back-propagation is essentially an optimization method being able to find weight coefficients and thresholds for the given neural network and training set.
Klíčová slova
Neural networks, Back propagation algorithm
Autoři
ŠKORPIL, V.; ŠŤASTNÝ, J.
Rok RIV
2006
Vydáno
20. 9. 2006
Nakladatel
rechnical University - Sofia
Místo
Sozopol, Bulgaria
ISBN
954-438-564-9
Kniha
The 15th International Scientific and Applied Science Conference Electronics ET´2006, Proceedings of the Conference
Edice
The 15th Internqational Scientific and Applied Science Conference Electronics ET´2006,
Číslo edice
1
Strany od
173
Strany do
178
Strany počet
6
BibTex
@inproceedings{BUT21881, author="Vladislav {Škorpil} and Jiří {Šťastný}", title="Neural Networks and Back Propagation Algorithm", booktitle="The 15th International Scientific and Applied Science Conference Electronics ET´2006, Proceedings of the Conference", year="2006", series="The 15th Internqational Scientific and Applied Science Conference Electronics ET´2006,", number="1", pages="6", publisher="rechnical University - Sofia", address="Sozopol, Bulgaria", isbn="954-438-564-9" }