Publication detail
MACROCELL SIGNAL PROPAGATION MODELLING BASED UPON ARTIFICIAL NEURAL NETWORKS
ZÁVODNÝ, L., HANUS, S.
Original Title
MACROCELL SIGNAL PROPAGATION MODELLING BASED UPON ARTIFICIAL NEURAL NETWORKS
English Title
MACROCELL SIGNAL PROPAGATION MODELLING BASED UPON ARTIFICIAL NEURAL NETWORKS
Type
conference paper
Language
en
Original Abstract
This paper deals with the utilization of the artificial neural networks for macrocell modelling of signal propagation. Model, which is currently in progress, is intended for irregular terrain and for the GSM frequency band. Article describes structure of artificial neural networks, inregular terrain signal propagation prediction methods and uniting those principles in the model.
English abstract
This paper deals with the utilization of the artificial neural networks for macrocell modelling of signal propagation. Model, which is currently in progress, is intended for irregular terrain and for the GSM frequency band. Article describes structure of artificial neural networks, inregular terrain signal propagation prediction methods and uniting those principles in the model.
Keywords
artificial neural networks, macrocell signal propagation modelling
RIV year
2004
Released
27.04.2004
Publisher
STU Bratislava
Location
Bratislava
ISBN
80-227-2017-8
Book
Radioelektronika 2004 Conference Proceeedings
Edition number
1
Pages from
269
Pages to
272
Pages count
4
Documents
BibTex
@inproceedings{BUT13722,
author="Luděk {Závodný} and Stanislav {Hanus}",
title="MACROCELL SIGNAL PROPAGATION MODELLING BASED UPON ARTIFICIAL NEURAL NETWORKS",
annote="This paper deals with the utilization of the artificial neural networks for macrocell modelling of signal propagation. Model, which is currently in progress, is intended for irregular terrain and for the GSM frequency band. Article describes structure of artificial neural networks, inregular terrain signal propagation prediction methods and uniting those principles in the model.",
address="STU Bratislava",
booktitle="Radioelektronika 2004 Conference Proceeedings",
chapter="13722",
institution="STU Bratislava",
year="2004",
month="april",
pages="269",
publisher="STU Bratislava",
type="conference paper"
}