复合地基承载力预测的支持向量机方法应用研究  

Approach on load-bearing capacity of composite foundation based on support vector machine

作　　者：李书全[1] 冯利军[1] 杜占良[2] 宋连友[3] 

机构地区：[1]天津财经大学,天津300222 [2]河北农业大学,河北保定071001 [3]沧州师范专科学校,河北沧州061001

出　　处：《河北农业大学学报》2006年第4期106-109,共4页Journal of Hebei Agricultural University

基　　金：天津市教委十五综合投资科技计划项目

摘　　要：针对复合地基承载力设计存在的问题,提出了基于支持向量机的预测方法,通过对影响复合地基承载力因素的分析,建立了复合地基承载力预测的支持向量机模型。研究结果表明,基于支持向量机的复合地基承载力预测方法具有较高的准确率,应用前景广阔。In view of the method based on support tion was proposed. After problems of design of composite foundation load - bearing capacity, a new vector machine for predicting load - bearing capacity of composite foundaanalysis of load - bearing capacity of composite foundation and its factors, a support vector machine model for composite foundation was established, and its application shown that this model gives accurate prediction, and has wide application in the future.

关 键 词：复合地基承载力 支持向量机 人工神经网络 

分 类 号：TU472[建筑科学—结构工程]