摘要
在全面分析影响隧道围岩稳定性因素的基础上 ,结合人工神经网络方法的特点 ,提出了一种基于隧道围岩稳定性识别的 B-P人工神经网络方法。通过实例分析对比表明 ,模型精度很高 ,识别结果可靠 ,且操作简洁方便 ,能有效地应用于隧道围岩稳定性的识别。
On the basis of analyzing the factors affecting rockmass stability of a tunnel and in combination with the character of the neural network method,this paper has put forward a B P neural network model for identifing the rockmass stability.The practical example demonstrates that the precision of the model is good enough to meet the engineering requirements,and its operation is convenient and the result credible.So this method has a wide application foreground.
出处
《地质科技情报》
CAS
CSCD
北大核心
2002年第1期95-98,共4页
Geological Science and Technology Information
