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《CHINESE JOURNAL OF ROCK MECHANICS AND ENGINEERING》 2000-04
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STUDY ON ROCKBURST PREDICTION METHOD BASED ON THE PRIOR KNOWLEDGE

Yang Tao 1, Li Guowei 2 ( 1 Henan Provincial Communications Planning, Survey and Design Institute, Zhengzhou 450052 China) ( 2 Hohai University, Nanjing 210098 China)  
Based on the neural network theory, a new rockburst prediction model is established. The BP network is trained using the collected data from some actural projects. The study shows that the proposed model is of objectivity, generality and higher accuracy.
【CateGory Index】: TU45
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1 CHEN Qi~1,2 LI Jun-yan~2 ZHANG Jie-kun~2 WANG Gui-hai~3 (1.China University of Mining and Technology,Beijing 100083,China;2.China University of Geosciences,Beijing,100083,China;3.Beijing Aotong Engineering Co.,Ltd.,Beijing,100034,China;);PREDICTION AND EVALUATION OF ROCKBURST DURING THE EXCAVATION OF THE UMDERGROUND WATER-SEALED OIL SATORAGE CAVE——TAKING ONE OF OIL STORAGE CAVES IN SHANDONG PROVINCE FOR EXAMPLE[A];[C];2005
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