ANN Prediction Models for Indoor Environment

This work presents the results of the studies concerning the application of the feedforward neural networks to the prediction of propagation path loss in indoor environment. The proposed models consist of a multilayer perceptron and a generalized regression neural network trained with measurements. The results of the prediction made by the proposed neural models show a good agreement with the measurements