公路隧道围岩稳定性评价的改进人工神经网络方法

本文运用改进的人工神经网络方法 ,研究了公路隧道围岩稳定性的评价定级问题 .首先讨论了模型建立和算法选择与分析 ,并对实际的工程问题进行了计算和模拟 .所得的评价定级结果接近于实际 ,计算方法可靠 ,计算时间适中 ,方法稳定性良好 .本文的研究结果表明 ,利用人工神经网络方法评价隧道围岩的稳定性具有广阔应用前景 .

Stability Evaluation of the Surrounding Rock of Road Tunnel Using Improved Artificial Neural Network Method

In this paper, the stability of the surrounding rock of the road tunnels is evaluated by means of improved artificial neural network method. Models and algorithms are discussed. A problem from engineering is considered. Computational results could match the real problem quite well. It shows that the method is reliable, that the time spending on calculation are moderate, and that the method is stable. It can be inferred that it has a broad prospect to evaluate the surrounding rock stability in road tunnels using artificial neutral network method.