Prediction of Vibration Velocity due to Blasting Using Artificial Neural Network
2012 ◽
Vol 170-173
◽
pp. 3063-3067
Keyword(s):
Vibration induced by blasting is one of the most hazardous events in the mining industry and may cause structural damage in country areas. Therefore, mitigating the possible hazard and predicting the vibration velocity is important. In this paper, an attempt has been made to predict the peak particle velocity using artificial neural network (ANN) by taking into consideration of maximum explosive charge used per delay and distance between blast face to monitoring point. To achieve the classic framework of this approach, the prediction results by artificial neural network were compared with measured values by coefficient of determination (CoD) and sum of squares due to error (SSE).
2012 ◽
Vol 170-173
◽
pp. 1013-1016
2018 ◽
2021 ◽
pp. 036119812110057
2020 ◽
Vol 42
(3)
◽
2019 ◽
Vol 16
(2)
◽
pp. 701