将BP神经网络应用于隧洞围岩分类,BP神经网络通过学习记忆建立输入和输出变量之间的非线性关系。利用淮南洞山隧道围岩分类样本进行模拟检验,BP神经网络模型性能良好,对隧道围岩分类的精度较高,是一种值得推广和应用的围岩智能分类方法。%Application of BP neural networks to classification of surrounding rock of tunnel,established through the learning and memory of BP neural nonlinear relationship between the input and output variables.Use of HUAINAN cave mountain tunnel surrounding rock classification samples for simulation test,BP neural network model has good performance,high precision of tunnel surrounding rock classification,Is a worthy of promotion and application of surrounding rock intelligent classification method.
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