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《Journal of Yangtze River Scientific Research Institute》 2008-05
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Application of BP Neural Network in Prediction of Rockburst

LI Yong-song,YIN Jian-min,AI Kai(Yangtze River Scientific Research Institute,Wuhan 430010,China)  
Taking into account internal and exterior factors of rockburst,a model using BP neural network is proposed,in which the in-situ stress,the compressive strength,the tensile strength and the elastic energy index of the cavern are chosen as criteria indexes.Some representative engineering projects at home and aboard are collected as learning and training samples,so as to improve the extensive ability of neural network,and Levenberg-Marquardt algorithm is applied to achieve better performance during the training process.The instances indicate that the evaluated results agree well with the practical records,which shows the model is effective in prediction of rockburst.
【Fund】: 国家自然科学基金委员会、二滩水电开发有限责任公司雅砻江水电开发联合研究基金重点项目(50639090)
【CateGory Index】: TV223.3
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