NGHIÊN CỨU KHẢ NĂNG ỨNG DỤNG MẠNG NƠRON NHÂN TẠO TRONG DỰ BÁO KÍCH THƯỚC TRUNG BÌNH CỦA CỤC ĐÁ VÀ THỂ TÍCH PHÁ MẪU SAU NỔ TRÊN MÔ HÌNH NỔ ĐIỆN

Tóm tắt

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.