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基于BP人工神经网络的滑坡预测分析
引用本文:刘娇玲,肖盛燮.基于BP人工神经网络的滑坡预测分析[J].西部交通科技,2012(1):12-14,36.
作者姓名:刘娇玲  肖盛燮
作者单位:重庆交通大学防灾减灾工程研究所,重庆,400074
基金项目:国家自然科学基金项目《基于灾变链式理论的多种灾害演化规律探索》(50879097)
摘    要:文章以汶川地震引发的滑坡为研究对象,以震中距、地震烈度、坡度、前缘高程、坡高和岩性等影响坡体稳定性的因素为切入点,利用BP人工神经网络对实际坡体的稳定性进行了预测分析。结果表明,BP人工神经网络方法能有效预测坡体的稳定情况。

关 键 词:BP人工神经网络  坡体稳定性  预测  分析

The Forecasting Analysis of Slope Stability Based on BP Artificial Neural Network
LIU Jiao-ling,XIAO Sheng-xie.The Forecasting Analysis of Slope Stability Based on BP Artificial Neural Network[J].Western China Communication Science & Technology,2012(1):12-14,36.
Authors:LIU Jiao-ling  XIAO Sheng-xie
Institution:(Research Institute of Disaster Prevention and Reduction,Chongqing Jiaotong University,Chongqing,400074)
Abstract:Taking the slope sliding caused by Wenchuan earthquake as study object,the arti-cle uses BP artificial neural network to perform forecasting analysis on the stability of slope from epicentral distance,earthquake intensity,gradient,front elevation,slope height,lithol-ogical characters and other factors.The result shows that BP artificial neural network is able to predict the stability of the slop efficiently.
Keywords:BP artificial neural network  Slope stability  Forecast  Analysis
本文献已被 CNKI 维普 万方数据 等数据库收录!
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