Neural Network Model for Forecasting Peak Acceleration of Blasting Vibration
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Abstract
Aim To forecast the peak acceleration of blasting vibration.Methods The neural network model was adopted, the twenty groups of peak acceleration data of blasting vibration obtained from Qinshan were used to train it,and ten groups of da- ta were forecasted.Results The forecasting results are identical with the measured re- sults.Conclusion What is presented in this paper is just an exploratory forecasting.The results show that the method is feasible and can be spread.
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