人工神经网络模型及其在隧道围岩分类中的应用

Artificial neutral network model and its application in determination of classification of rockmass in tunnel

应用神经网络的联想记忆功能 ,以隧道围岩 5个类别作为训练标本 ,建立隧道围岩与分类指标之间对应关系的BP判定模型 ,为隧道围岩分类提供了一条新途径。

Determination of classification of rockmass in tunnel is undetermind problem.On the base of classification criterion for Rockmass in tunnel,a back propagation (BP)neutral network model is established for recognition of swell classes with artificial neutral network,this provides an new approach to determination of classification of rockmass in tunnel