NEURAL NETWORK'S APPLICATION TO STUDY THE RELATION BETWEEN MINING ACTIVITIES AND SEISMIC VIBRATIONS

Normally,the relation between mining activities and seismic vibrations induced by them is expressed by theoretical formulas.In the practice,relevant parameters are predicted in the light of experiences or by means of regressive method that are not sufficiently exact.by using the neural network,the mining intensity and depth which influence mainly the occurence of seismic vibration are the input while the accumulative degrees and times of seismic vibrations induced by mining activities are the outputs.In this way,the highly non linear relation between mining activities and seismic vibrations induced by them is clearly expressed.The method has been successfully used in Laohutai Mine,and the results of prediction are more exact than those obtained from regressive method.