APPLICATION OF HIERARCHY ARTIFICIAL NEURAL NETWORK TO EVALUATE THE EXPLOITATIONCONDITIONS OF SURFACE MINING AREA

IntroductionlnChina,coalisstilltheprimaryenergy,itsproductionandconsumptionaccountsfor2/3ofprimaryenergyincertainperiod.Inordertoreachthetargetofthecoalproductionof14billiontonsattheendofthecentury,itisnecessaryandfeasibletoaccelerateexploltlngsurfaceareasaccordingtothedevelopmentoftheinternationalcoalexploitationandthesuperiorityofsurfacemining.Soitisanimportanttopicforthesurfaceminingdevelopmentofcoalresourceabouthowtoselectreasonablesurfaceminingareas,optimizetheorderoftheexp1oitation,explo…

APPLICATION OF HIERARCHY ARTIFICIAL NEURAL NETWORK TO EVALUATE THE EXPLOITATION CONDITIONS OF SURFACE MINING AREA

It always adopts the direct hierarchy analysis to value the exploitation conditions of surface mining areas. This way has some unavoidable shortcomings because it is mainly under the aid of experts and it is affected by the subjective thinking of the experts. This paper puts forwards a new approach that divides the whole exploitation conditions into sixteen subsidiary systems and each subsidiary system forms a neural network system. The whole decision system of exploitation conditions of surface mining areas is composed of sixteen subsidiary neural network systems. Each neural network is practiced with the data of the worksite, which is reasonable and scientific. This way will be a new decision approach for exploiting the surface mining areas.