| 基于BP神经网络的隧道围岩分类 |
| |
| 引用本文： | 陈振平,王鹏. 基于BP神经网络的隧道围岩分类[J]. 路基工程, 2011, 0(1): 97-99 |
| |
| 作者姓名： | 陈振平 王鹏 |
| |
| 作者单位： | 1.河南省交通规划勘察设计院有限责任公司, 郑州450052 |
| |
| 摘 要： | 应用BP神经网络建立了隧道围岩分类模型,对其影响因素进行分析,并对模型进行优化,将训练好的分类模型运用到贵安隧道,为隧道围岩分类提供了一种简便可行的方法。
|
| 关 键 词： | 影响因素 围岩稳定性分类 BP神经网络 |
| 收稿时间： | 2019-11-10 |
Classification of Tunnel Surrounding Rock Based on BP Neural Network |
| |
| CHEN Zhen-ping,WANG Peng. Classification of Tunnel Surrounding Rock Based on BP Neural Network[J]. , 2011, 0(1): 97-99 |
| |
| Authors: | CHEN Zhen-ping WANG Peng |
| |
| Affiliation: | CHEN Zhen-ping1,WANG Peng2(1.Henan Provicial Communications Planning Survey & Design Institute Co.,Ltd.,Zhengzhou 450052,China,2.CCCC Second Highway Survey and Design Research Institute Co.,Wuhan 430056,China) |
| |
| Abstract: | Tunnel surrounding rock classification model is established using BP neural network to analyze the influencing factors of tunnel rock classification and optimize the model.The trained classification model is applied to Gui'an Tunnel,which provides a simple and feasible method for classification of tunnel rock. |
| |
| Keywords: | influencing factors surrounding rock stability classification BP neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《路基工程》浏览原始摘要信息 |
|
点击此处可从《路基工程》下载全文 |
|
