【摘要】 提出了砂土地震液化分析的一种新方法,即支持向量机方法。该方法根据有限的学习样本,建立了各种影响因素和地震液化之间的一种非线性映射,可以对砂土在地震条件下的液化进行分析。基于已有的砂土地震液化资料,采用支持向量机模型,对国外地震现场实例进行了预测,网络输出结果与实际情况十分吻合。实例研究表明,支持向量机方法用于预测砂土地震液化是有效而可行的。更多还原

【Abstract】 A new method of sand seismic liquefaction based on the support vector machine is presented. After the establishment of nonlinear mapping between sand seismic liquefaction and various finite factors,the method can be used to analyze the sand seismic liquefaction.Based on the data of sand liquefaction caused by earthquake,the support vector machine model was used to predict the abroad example,and the outcome of network unified the real sample,and is effective and feasible.更多还原