Thesis abstract:

«p»Rock burst is a catastrophic phenomenon in underground engineering. Efficient and precise prediction of rock burst could avoid economic loss and injury or even death of the workers caused by rock burst disaster. Since the characteristic of rock burst is extremely complex, comparing with conventional prediction means, machine learning methods would be a perfect tool to predict rock burst.«/p»