首页> 外文会议>International Symposium on Neural Networks(ISNN 2005) pt.3; 20050530-0601; Chongqing(CN) >Artificial Neural Network for Prediction of Rockburst in Deep-Buried Long Tunnel
【24h】

Artificial Neural Network for Prediction of Rockburst in Deep-Buried Long Tunnel

机译:人工神经网络在深埋长隧道岩爆预测中的应用

获取原文
获取原文并翻译 | 示例

摘要

Rockburst is a main engineering geological problems in deep-buried long tunnels. Rockburst phenomena have been analyzed, assumptions and criteria have been presented from the perspectives of strength, stiffness, energy, steadiness, fracture, damage, fractal and catastrophe, etc. Considering individual factors only among some assumptions and criteria will cause unilateral and limited results. Based on the assumptions and criteria of rockburst and real examples of tunnel engineering, a neural network model is proposed to predict rockburst. The prediction results show that it is feasible and valid to use artificial neural network for predicting rockburst.
机译:岩爆是深埋长隧道中的主要工程地质问题。从强度,刚度,能量,稳固性,断裂,损坏,分形和巨灾等角度分析了岩爆现象,并提出了假设和标准。仅在某些假设和标准中考虑单个因素会导致单方面和有限的结果。基于岩爆的假设和准则以及隧道工程的实际实例,提出了一种神经网络模型来预测岩爆。预测结果表明,采用人工神经网络进行岩爆预测是可行和有效的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号