Detail publikace

ARTIFICIAL NEURAL NETWORKS IN MACROCELL FIELD STRENGTH PREDICTION

Originální název

ARTIFICIAL NEURAL NETWORKS IN MACROCELL FIELD STRENGTH PREDICTION

Anglický název

ARTIFICIAL NEURAL NETWORKS IN MACROCELL FIELD STRENGTH PREDICTION

Jazyk

en

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.

Anglický 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.

BibTex


@inproceedings{BUT13725,
  author="Luděk {Závodný}",
  title="ARTIFICIAL NEURAL NETWORKS IN MACROCELL FIELD STRENGTH PREDICTION",
  annote="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.",
  address="VUT v Brně, FEKT, FIT",
  booktitle="Proceedings of the 10th Conference Student EEICT 2004",
  chapter="13725",
  edition="Volume 2",
  institution="VUT v Brně, FEKT, FIT",
  year="2004",
  month="april",
  pages="202",
  publisher="VUT v Brně, FEKT, FIT",
  type="conference paper"
}