| 人工神经网络在隧道围岩稳定性识别中的应用 |
| |
| 引用本文： | 刘贵应,陈建平,魏新颜,刘加龙.人工神经网络在隧道围岩稳定性识别中的应用[J].地质科技情报,2002,21(1):95-98. |
| |
| 作者姓名： | 刘贵应 陈建平 魏新颜 刘加龙 |
| |
| 作者单位： | 中国地质大学工程学院,湖北,武汉,430074 |
| |
| 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。
|
| 关 键 词： | 人工神经网络 围岩 稳定性 识别 隧道 |
| 文章编号： | 1000-7849(2002)01-0095-04 |
| 修稿时间： | 2001年3月15日 |
NEURAL NETWORK IDENTIFICATION FOR ROCKMASS STABI- LITY OF THE TUNNEL |
| |
| LIU Gui,ying,CHEN Jian,ping,WEI Xin,yan,LIU Jia,long.NEURAL NETWORK IDENTIFICATION FOR ROCKMASS STABI- LITY OF THE TUNNEL[J].Geological Science and Technology Information,2002,21(1):95-98. |
| |
| Authors: | LIU Gui ying CHEN Jian ping WEI Xin yan LIU Jia long |
| |
| Abstract: | 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. |
| |
| Keywords: | neural network rockmass stability identification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
