Abstract: The Back-Propagation Neural Network is utilized to research rock fragmentation prediction in cement mine. The paper establishes a three-layer feed forward BP Neural Network model by Matlab software. After the model is trained it is used to simulate and predict measured sample .The prediction result proves that using the model to predicate rock fragmentation distribution is completely feasible and has better precision. The model also can be used to auxiliary verify optimal design of mine blasting parameters .
