人工神经网络在围岩稳定性分类中的应用

APPLICATION QF ARTIFICIAL NEURAL NETWORK TO CALSSIFICATI-ON OF ROCK STABILITY

摘要: 利用BP型人工神经网络计算原理,建立起6个判别参数与围岩稳定性的关系,实现了对围岩稳定性分类的定量评价。实例研究表明,应用人工神经网络进行地下工程围岩稳定性分类是可行的。

Abstract: Applying the principle of the artificial network computation, the paper establishes the relationship of 6 param-eters with the grade of surrounding rock stability and makes the classification of surrounding rock stability. The study shows that artificial neural network model is feasible and effective in classification of surrounding rock stability.