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一种基于支持向量机的CFG桩复合地基承载力预测方法
引用本文:宇云飞,王士杰,朱常志.一种基于支持向量机的CFG桩复合地基承载力预测方法[J].兰州理工大学学报,2007,33(6):119-121.
作者姓名:宇云飞  王士杰  朱常志
作者单位:中国矿业大学,力学与建筑工程学院,北京,100083;河北农业大学,城乡建设学院,河北,保定,071001;河北农业大学,城乡建设学院,河北,保定,071001
摘    要:提出一种基于SVM的CFG桩复合地基承载力预测方法并建立相应预测模型.为获得模型参数,对18组CFG桩复合地基试验资料进行训练,训练值与实测值符合较好.用建立的SVM模型对4组CFG桩复合地基试验数据进行预测,预测结果与实测值相差较小.理论分析和实例结果验证表明:基于SVM的CFG桩复合地基承载力预测方法具有较高的预测精度和可靠性.

关 键 词:CFG桩  支持向量机  承载力  预测
文章编号:1673-5196(2007)06-0119-03
收稿时间:2007-05-07
修稿时间:2007年5月7日

A prediction method of bearing capacity of CFG pile composite foundation based on support vector machine
YU Yun-fei,WANG Shi-jie,ZHU Chang-zhi.A prediction method of bearing capacity of CFG pile composite foundation based on support vector machine[J].Journal of Lanzhou University of Technology,2007,33(6):119-121.
Authors:YU Yun-fei  WANG Shi-jie  ZHU Chang-zhi
Abstract:A prediction method of bearing capacity of CFG pile composite foundation was presented based on support vector machine and corresponding prediction model was set up.To obtain the model coefficients,18 groups of test data of CFG pile composite foundation were trained,the training value conforms well to the test value.Then the model was used to predict another 4 groups of test data.The result showed that the prediction value was close to the test value.The theoretical analysis and practical example indicated that the prediction method of bearing capacity of CFG pile composite foundation based on support vector machine was accurate and reliable.
Keywords:CFG pile  support vector machine  bearing capacity  prediction
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