170 MHz field strength prediction in urban environment using neural nets

In this paper, a semi-empirical model of field strength prediction combining theoretical results of propagation loss algorithms and artificial neural networks is considered. This approach expects to overcome some limitations inherent in existing semi-empirical models: linear behaviour of the statistical analysis used in the construction of the models, unfitness for learning new situations. The good results obtained in a dense urban area show that neural networks are a very efficient empirical method to compute new kinds of models which integrate theoretical and experimental data