Neural network approach to prediction of terrestrial wave propagation for mobile radio

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Neural network approach to prediction of terrestrial wave propagation for mobile radio

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Theoretical investigations into the suitability of neural network simulators for the prediction of field strength based on topographical and morphographical 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.

Inspec keywords: neural nets; radiowave propagation; learning (artificial intelligence); mobile radio systems

Other keywords: neural network simulators; heuristic formulae; mobile radio; topographical data; data processing; radiowave propagation; training; deterministic formulae; field strength prediction; adaptive learning; terrestrial wave propagation; morphological data

Subjects: Neural computing techniques; Communications computing; Mobile radio systems; Radiowave propagation; Neural nets


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