【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。更多还原

【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.更多还原