DocumentCode
936712
Title
Neural network approach to prediction of terrestrial wave propagation for mobile radio
Author
Stocker, K.E. ; Gschwendtner, B.E. ; Landstorfer, F.M.
Author_Institution
Alcatel Sel, Stuttgart, Germany
Volume
140
Issue
4
fYear
1993
fDate
8/1/1993 12:00:00 AM
Firstpage
315
Lastpage
320
Abstract
Theoretical investigations into the suitability of neural network simulators for the prediction of field strength based on topographical and morphological data are presented. Effective input and output data processing is developed using deterministic and heuristic formulae for the training of a neural network simulator. First, successful steps towards a planning tool for mobile radio communication based on adaptive learning from measurement data are made. Field strength prediction with the new system shows acceptable conformity with measurements
Keywords
learning (artificial intelligence); mobile radio systems; neural nets; radiowave propagation; adaptive learning; data processing; deterministic formulae; field strength prediction; heuristic formulae; mobile radio; morphological data; neural network simulators; radiowave propagation; terrestrial wave propagation; topographical data; training;
fLanguage
English
Journal_Title
Microwaves, Antennas and Propagation, IEE Proceedings H
Publisher
iet
ISSN
0950-107X
Type
jour
Filename
232522
Link To Document