An evaluating model of surrounding rock stability classification is presented in neural network. The data obtained from the practical project are used to train and evaluate neural network.
提出了以神经网络进行围岩稳定性分类的方法，根据收集到的围岩分类资料来训练和检验神经网络模型。
Based on the catastrophe progression theory, an integrative evaluation method for the stability classification of surrounding rock was presented.
提出基于突变级数理论的地下工程围岩稳定性分类的评价方法。
The classification of surrounding rock was mainly adopted for the stability of the cavern in order to analyze the stability of surrounding cavern and evaluate developed rule of rock explosion.
对洞室稳定性主要采取了多种方法的围岩分类，在此基础上分析了洞周块体稳定性并评价了岩爆发生发育规律。
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