ISSN 1006-3021 CN11-3474/P
Published bimonthly started in 1979
圆弧形公路边坡稳定性分析的神经网络法
  
关键词:neural network  BP model  slope stability  appraisal
基金项目:科技部重点专项项目(2001DIA20027)
作者单位E-mail
何锋 中国地质科学院地质力学研究所北京100081 he-fg@263.sina.com 
吴树仁 中国地质科学院地质力学研究所北京100081  
张怡权 中国地质大学北京100083  
包惠明 桂林工学院广西桂林541004  
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摘要:
A Neural Network Method for Analyzing Compass Slope Stability of the Highway
      Slope stability generally depends on some elusive and nonlinear factors. The artificial neural network is characterized by parallel processing of data and information, high fault tolerance and antinoise capacities. It can self-adaptively derive complicated nonlinear relations from sample examples and simulate human brain activities and is therefore suited for evaluating the stability of the nondeterministic slope. The authors have created a neural network BP model for slope stability analysis. On the basis of collected slope analyzing examples,the BP model was used to examine slope stability along Section K250 arterial highway between Guilin and Liu zhou. The result shows that the neural network method is very effective in analyzing slope stability.
HE Feng,WU Shu-ren,ZHANG Yi-quan,BAO Hui-ming.2004.A Neural Network Method for Analyzing Compass Slope Stability of the Highway[J].Acta Geoscientica Sinica,25(1):95-98.
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