Detail publikace

Comparison of Learning Algorithms

ŠKORPIL, V. ŠŤASTNÝ, J.

Originální název

Comparison of Learning Algorithms

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

There are several learning methods which are suitable for neural networks. In this paper two of them are described - Back-propagation (BP) and Genetic (GA) algorithms. These learning methods are compared here and they are used for the control of modern telecommunication network nodes

Klíčová slova

Learning algorithm, Back-propagation, Genetic algorithm

Autoři

ŠKORPIL, V.; ŠŤASTNÝ, J.

Rok RIV

2008

Vydáno

26. 6. 2008

Nakladatel

Queens University Kingston

Místo

Kingston, Canada

ISBN

978-1-4244-1946-3

Kniha

24 th Biennial Symposium on Communications

Edice

CD

Číslo edice

1

Strany od

231

Strany do

234

Strany počet

4

BibTex

@inproceedings{BUT33805,
  author="Vladislav {Škorpil} and Jiří {Šťastný}",
  title="Comparison of Learning Algorithms",
  booktitle="24 th Biennial Symposium on Communications",
  year="2008",
  series="CD",
  number="1",
  pages="231--234",
  publisher="Queens University Kingston",
  address="Kingston, Canada",
  isbn="978-1-4244-1946-3"
}