RESEARCH ON THE APPLICABILITY OF ARTIFICIAL NEURAL NETWORK MODEL TO PREDICT THE AVERAGE DIMENSION OF FRAGMENTATION AND THE VOLUME OF EXCAVATION FOR THE ELECTRICAL EXPLOSION MODEL

Abstract

Artificial neural network (ANN) has been applied successfully to many engineering problems. In this paper, an ANN model is developed in predicting the average dimension of fragmentation and the volume of excavation for the electrical explosion model in two cases of explosion: one free surface and two free surfaces. The criterions to evaluate the accuracy of the models are the R squared (RS) and the mean square error (MSE). Comparing the predicted data with the tested data, the result indicates that ANNs should be used in predicting the average dimension of fragmentation and the volume of excavation for the electrical explosion model at once.