Abstract: Blasting vibration control has been an important research subject in engineering blasting field and the accurate forecast of blasting vibration is the premise and basis of vibrating control. BP neural network is a neural network model that is most widely used in non-linear forecast. A BP neural network model was established for forecasting the blasting vibration speed and compared with common linear recession method. The comparison results show that the neutral network forecast model has higher accuracy.

Key words: BP neutral network, Blasting vibration, Forecast