期刊名称：International Journal of Advances in Soft Computing and Its Applications
印刷版ISSN：2074-8523
出版年度：2011
卷号：3
期号：1
出版社：International Center for Scientific Research and Studies
摘要：This article employs Least Square Support Vector Machine (LSSVM) for determination of Compression Index (Cc) of marine clay in east coast of Korea. This study uses LSSVM as a regression tool. In LSSVM, the regression equation is obtained as the solution to a linear system instead of a quadratic programming (QP) problem. The input parameters of LSSVM are natural water content (¦Øn), liquid limit (¦Ø1), initial void ratio (e0), and plasticity index (PI). Equations have been also developed for the prediction of Ccof marine clay. The comparison between the developed LSSVM and the regression models shows that the developed LSSVM models perform better than the regression models. This article shows that the developed LSSVM can be used to predict Ccof marine clay in east coast of Korea
关键词：Marine Clay; Compression Index; Least Square Support Vector ;Machine; Prediction
