Abstract：Because the influence factors of blasting vibration effect is various,how to consider all the factors and predict the blasting vibration effect reasonably is a burning question. Blasting vibration prediction model was established by applying the BP neural network,and used in the west slope for the production of blasting.Through the analysis of various influencing factors of blasting and the blasting monitoring data,using weight training between the Internet,it is found out the non-linear relation between input and output variables,predicting blasting vibration with the trained neural network. Model prediction results are consistent with the actual monitoring of the blasting vibration data,thererore,it is feasible that the BP neural network model is applied to the evaluation process of blasting vibration. Compared with prediction effect of conventional empirical formula,blasting vibration prediction model based on BP neural network is simple and that the prediction deviation small and high precision. Finally,a set of optimal parameters is obtained by using the model.

Keyword：blasting vibration;vibration prediction;BP neural network;blast parameters optimization;