Publication detail

Comparison of Learning Algorithms

ŠKORPIL, V. ŠŤASTNÝ, J.

Original Title

Comparison of Learning Algorithms

Type

conference paper

Language

English

Original Abstract

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

Keywords

Learning algorithm, Back-propagation, Genetic algorithm

Authors

ŠKORPIL, V.; ŠŤASTNÝ, J.

RIV year

2008

Released

26. 6. 2008

Publisher

Queens University Kingston

Location

Kingston, Canada

ISBN

978-1-4244-1946-3

Book

24 th Biennial Symposium on Communications

Edition

CD

Edition number

1

Pages from

231

Pages to

234

Pages count

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"
}