深井硬岩岩爆倾向性的多指标自适应模式判别

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

采用多指标综合判别岩爆发生的倾向性时，往往产生各指标判别结果的不一致性。本文结合实例应用神经网络自适应模式识别方法可以很好地解决这种不一致性问题，实现了多指标综合判别岩爆发生的倾向性。

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.