%0 Journal Article
%T STUDY ON GENETIC-SUPPORT VECTOR MACHINE IN DISPLACEMENT BACK ANALYSIS<br>位移反分析的进化支持向量机研究
%A Zhao Hongbo
%A Feng Xiating
%A <br>赵洪波
%A 冯夏庭
%J 岩石力学与工程学报
%D 2003
%I 
%X An evolutionary support vector machine for displacement back analysis is proposed by combining the support vector machine and genetic algorithm. The learning and testing samples produced in orthogonal and equality experiment are used to train the support vector machine whose parameter is determined in global optimal by genetic algorithm. Thus,the support vector machine with optimal parameter is used to describe the relationship between the rock mechanics parameters and displacements. Then genetic algorithm is adopted again to search for the optimal rock mechanics parameters in their global ranges. As an example,a back analysis for elastic and elasto-plastic problem is introduced. The results are satisfactory.
%K optimization
%K support vector machine
%K displacement back analysis
%K genetic algorithm
%K finite element<br>位移反分析
%K 支持向量机
%K 遗传算法
%K 有限元
%K 岩体力学
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=D3421FAA1A0A0F0C&jid=35E747D791A1346351AFB523B7FA35CB&aid=F3047616246DBEC2&yid=D43C4A19B2EE3C0A&vid=BC12EA701C895178&iid=F3090AE9B60B7ED1&sid=EBACC21D715FEBD7&eid=498BA6789EF40614&journal_id=1000-6915&journal_name=岩石力学与工程学报&referenced_num=30&reference_num=12