文章基本信息

标题：A Review on Optimization of Least Squares Support Vector Machine for Time Series Forecasting
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作者：Yuhanis Yusof ; Zuriani Mustaffa
期刊名称：International Journal of Artificial Intelligence & Applications (IJAIA)
印刷版ISSN：0976-2191
电子版ISSN：0975-900X
出版年度：2016
卷号：7
期号：2
页码：35
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Support Vector Machine has appeared as an active study in machine learning community and extensivelyused in various fields including in prediction, pattern recognition and many more. However, the LeastSquares Support Vector Machine which is a variant of Support Vector Machine offers better solutionstrategy. In order to utilize the LSSVM capability in data mining task such as prediction, there is a need tooptimize its hyper parameters. This paper presents a review on techniques used to optimize the parametersbased on two main classes; Evolutionary Computation and Cross Validation.
关键词：Least Squares Support Vector Machine; Evolutionary Computation; Cross Validation; Swarm Intelligence