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Multi Indexes Adaptive Pattern Recognition of Rockburst Proneness in Deep Hard Rock Mine

Li Shulin (Changsha Institute of Mining Research,Changsha,410012) Feng Xiating (Northeastern University,Shenyang,110006)  
The inconsistant results from all indexes recognition can be incurred in using multi indexes to assess a rockburst proneness.Combining with an example,the authors use the adaptive pattern recognition method of neural network to solve this problem satisfactorily.Therefore,using multi indexes to assess a rockburst proneness is possible.
【CateGory Index】: TD321.2,TD324.1
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