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

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.


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