Size of blasting ore and its uniform degree is a key indicator for whether the blasting effect is good or bad.It not only directly influences subsequent working procedure of the mining operations,such as the equipment work efficiency of loading as well as transportation and wear degree.Furthermore,it seriously affects the mining cost,so the blasting parameters are optimized in Kaiyang Phosphorite Group Company with BP neural network.It takes row spacing,hole bottom distance and explosive unit consumption as the output results.It also takes the domestic similar mines as the training samples for training.The optimal blasting parameters are calculated,and the optimal blasting parameters are tested in site.The results show that the optimal parameters have a good blasting effect.This method has a wide application.