文章基本信息

标题：A Case Study on the Application of Computational Intelligence to Identifying Relationships between Land use Characteristics and Damages caused by Natural Hazards: A SVR Approach
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作者：Jae Heon Shim ; Sangyong Kim
期刊名称：International Journal of Software Engineering and Its Applications
印刷版ISSN：1738-9984
出版年度：2013
卷号：7
期号：5
页码：45-54
出版社：SERSC
摘要：This paper examines the application of a support vector regression (SVR) approach to identifying relationships between land use characteristics and damages caused by natural hazards. Our empirical results show the outperformance of a SVR model over a multiple ordinary least squares (OLS) regression model in terms of the predictive performance. Nonlinear relationships between land use characteristics and damages are revealed by a SVR model.
关键词：SVR; Land use; Natural hazards; OLS; Nonlinear relationships