Detail publikace

ARTIFICIAL NEURAL NETWORKS IN MACROCELL FIELD STRENGTH PREDICTION

ZÁVODNÝ, L.

Originální název

ARTIFICIAL NEURAL NETWORKS IN MACROCELL FIELD STRENGTH PREDICTION

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper deals with the utilization of the radial-basis artificial neural networks for field strength prediction in macrocells. Model, which is currently in progress, is intended for irregular terrain and for the GSM frequency band. The article describes a structure of artificial neural networks, irregular terrain field strength prediction methods and a uniting those principles in the model.

Klíčová slova

radial-basis artificial neural networks, field strength prediction in macrocells

Autoři

ZÁVODNÝ, L.

Rok RIV

2004

Vydáno

29. 4. 2004

Nakladatel

VUT v Brně, FEKT, FIT

Místo

Brno

ISBN

80-214-2635-7

Kniha

Proceedings of the 10th Conference Student EEICT 2004

Edice

Volume 2

Číslo edice

1

Strany od

202

Strany do

206

Strany počet

5

BibTex

@inproceedings{BUT13725,
  author="Luděk {Závodný}",
  title="ARTIFICIAL NEURAL NETWORKS IN MACROCELL FIELD STRENGTH PREDICTION",
  booktitle="Proceedings of the 10th Conference Student EEICT 2004",
  year="2004",
  series="Volume 2",
  number="1",
  pages="5",
  publisher="VUT v Brně, FEKT, FIT",
  address="Brno",
  isbn="80-214-2635-7"
}