Use of back-propagation neural networks to predict both level and temporal-spectral composition of sound pressure in urban sound environments

► A model is developed to predict the level and temporal-spectral composition of sound pressure. ► This ANN-based model affords high accuracy and precision. ► The proposed ANN proves much more effective than the use of MLR. ► This model may prove useful in achieving an integration of acoustical variables in town planning.