Abstract
In order to ensure the success of the blasting projects, accurate prediction of blasting vibration is necessary. However, blasting vibration is affected by different blasting conditions. The paper analyzed the impacts of the conditions to vibration, and built a blasting vibration velocity prediction model based on BP neural network. Comparing the predicted results with measured data, there has good correlation between them; it can be well applied to predict blasting vibration velocity.
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