Detail publikačního výsledku

Comparison of Learning Algorithms

ŠKORPIL, V.; ŠŤASTNÝ, J.

Originální název

Comparison of Learning Algorithms

Anglický název

Comparison of Learning Algorithms

Druh

Stať ve sborníku v databázi WoS či Scopus

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

Anglický 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

Klíčová slova v angličtině

Learning algorithm, Back-propagation, Genetic algorithm

Autoři

ŠKORPIL, V.; ŠŤASTNÝ, J.

Rok RIV

2010

Vydáno

26.06.2008

Nakladatel

Queens University Kingston

Místo

Kingston, Canada

ISBN

978-1-4244-1946-3

Kniha

24 th Biennial Symposium on Communications

Edice

CD

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"
}