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《Chinese Journal of Rock Mechanics and Engineering》 2003-11
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IDENTIFICATION WITH ARTIFICIAL NEURAL NETWORK OF LOAD PARAMETERS FROM UNDERGROUND EXPLOSION

Li Shouju,Liu Yingxi,He Xiang,Zhou Yuanpai (State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian 116024 China)  
The artificial neural network model is used to identify the loads parameters from underground explosion according to the field measurement data of ground vibration and computed data with finite element method. The convergence rate of the artificial neural network is improved by using Levenberg-Marquardt optimization method. The influence of measurement noise on identified results is studied. The results of numerical computation show that the proposed identification method is of robustness and ability against measurement noise.
【Fund】: 国家自然科学基金(10072014);; 高等学校博士点基金(2000014107)资助项目。
【CateGory Index】: O382
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