Gasoline price forecasting: An application of LSSVM with improved ABC
Optimizing the hyper-parameters of Least Squares Support Vector Machines (LSSVM) is crucial as it will directly influence the predictive power of the algorithm.To tackle such issue, this study proposes an improved Artificial Bee Colony (IABC) algorithm which is based on conventional mutation.The IAB...
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主要な著者: | Mustaffa, Zuriani, Yusof, Yuhanis, Kamaruddin, Siti Sakira |
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フォーマット: | Conference or Workshop Item |
言語: | English |
出版事項: |
Elsevier Ltd.
2014
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主題: | |
オンライン・アクセス: | http://repo.uum.edu.my/14831/1/1-s2.0RG.pdf http://repo.uum.edu.my/14831/ http://doi.org/10.1016/j.sbspro.2014.03.718 |
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