巷道围岩参数的人工神经网络预测

Study on Forecasting the Parameters of Roadway Surrounding Rock Based by Artificial Neural Networks

应用人工智能方法解决地下工程问题，提出了预测巷道围岩参数的人工神经网络预测法，构造了预测围岩参数的神经网络模型。预测结果证明，该模型具有很高的预测精度。提出的方法有一定的实用价值和参考价值。

The paper attempts to solve problems in underground engineering with artificial intelligence. Based on artificial neural networks, a method forecasting the parameters of roadway surrounding rock is put forward. The model here is back propagation neural network which is used widely. In the model, the data for input nodes are the convergence of roadways and some rock parameters obtained easily, and the data for output nodes are the parameters to be obtained. After defining the network weights by training the network, the parameters concerned can be obtained easily. The results indicate that the method proposed here is sicentific and practical.