Abstract: Aiming at the problems of complicated work and large amount of tasks in the design of blasting parameters of underground mines,an intelligent design model of blasting parameters of underground mines based on T-S fuzzy neural network is established to realize the rapid and intelligent design of blasting parameters.Taking the deep-hole blasting in underground mine of a mine as the research object,this paper collects a large number of field measured data of the mine,and takes the compressive strength,tensile strength,initial elastic modulus,elastic modulus,Poisson's ratio,cohesion,internal friction angle,hole bottom distance and row distance as input variables.Using BP neural network and T-S fuzzy neural network,different prediction models of blasting parameters of underground mine are established.The results show that the prediction model of blasting parameters of underground mine is different.T-S fuzzy neural network has higher accuracy and faster operation time.It can better express the non-linear relationship between blasting parameters and main control factors.The mean square error between the predicted value and the target value of the network reaches 1.375 9×10-5.The model has the best prediction effect.It provides a reference basis for the design of blasting parameters of underground mines.

Key words: T-S fuzzy neural network, Underground mine, Blasting parameters, ntelligent design