Vehicular traffic noise modeling using artificial neural network approach
Back propagation neural network is used to develop highway traffic noise model. LevenbergMarquardt (LM) algorithm is used to update weights in neural network. Artificial neural network architecture (3-8-2) is found be optimum. Neural network model has better prediction capability as compare to regression. Neural Network approach is a powerful technique for traffic noise modeling.
vehicular traffic noise modeling prediction capability artificial neural network (ann) back propagation (bp)