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《Mining Research and Development》 2011-04
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Neural Network Method for the Identification of Rockbolt Axial Force

ZHANG Fengjie1,2,ZHAO Yucheng1,2(1.College of Mechanic & Civil Engineering,China University of Mining & Technology,Xuzhou,Jiangsu 221116,China;2.State Key Laboratory for Geomechanics & Deep Underground Engineering,China University of Mining &Technology,Xuzhou,Jiangsu 221008,China)  
By using the numerical analysis software MATLAB and based on the Error Back-Propagation Network,the mapping relationship between the supporting parameters of roadway rock and the axial force of rockbolt was constructed in this paper.The axial force of rockbolt can be obtained accurately by fitting the neural network platform,so the axial stress state of rockbolt can be identified and the roadway supporting status can be evaluated.This technology is of some reference value for the monitoring of roadway rock stability and rockbolt supporting effect.
【Fund】: 国家自然科学基金重点项目(50834004) 国家自然科学基金项目(50874104);; 高等学校学科创新引智计划资助(B07028)
【CateGory Index】: TD353
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