A Fusion Neural Network for Estimation of Blasting Vibration

This paper presents the effectiveness of multilayer perceptron (MLP) networks for estimation of blasting vibration using past observations of various blasting parameters. Here we propose a fusion network that combines several MLPs and on-line feature selection technique to obtain more reliable and accurate estimation over the empirical models.