Publication result detail

ARTIFICIAL NEURAL NETWORKS IN MACROCELL FIELD STRENGTH PREDICTION

ZÁVODNÝ, L.

Original Title

ARTIFICIAL NEURAL NETWORKS IN MACROCELL FIELD STRENGTH PREDICTION

English Title

ARTIFICIAL NEURAL NETWORKS IN MACROCELL FIELD STRENGTH PREDICTION

Type

Paper in proceedings (conference paper)

Original Abstract

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.

English abstract

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.

Keywords

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

Key words in English

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

Authors

ZÁVODNÝ, L.

Released

29.04.2004

Publisher

VUT v Brně, FEKT, FIT

Location

Brno

ISBN

80-214-2635-7

Book

Proceedings of the 10th Conference Student EEICT 2004

Edition

Volume 2

Pages from

202

Pages count

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"
}