ARTIFICIAL NEURAL NETWORKS IN MACROCELL FIELD STRENGTH PREDICTION
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F04%3APU41623" target="_blank" >RIV/00216305:26220/04:PU41623 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
ARTIFICIAL NEURAL NETWORKS IN MACROCELL FIELD STRENGTH PREDICTION
Original language description
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.
Czech name
Umělé neuronové sítě.
Czech description
Umělé neuronové sítě.
Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2004
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 10th Conference Student EEICT 2004
ISBN
80-214-2635-7
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
202-206
Publisher name
VUT v Brně, FEKT, FIT
Place of publication
Brno
Event location
Brno
Event date
Jun 29, 2004
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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