Generalized regression neural network prediction model for indoor environment

This paper presents the results of our studies regarding the applications of the neural networks to the propagation path loss prediction in indoor environment. The proposed model consists of a generalized regression neural network trained with measurements. The result of the prediction made by the proposed model has shown a good agreement with the measurements.