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
fDate :
8/1/1993 12:00:00 AM
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;
Journal_Title :
Microwaves, Antennas and Propagation, IEE Proceedings H
