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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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Elsevier Ltd.
2014
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/14831/1/1-s2.0RG.pdf |
| _version_ | 1825803429649317888 |
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| author | Mustaffa, Zuriani Yusof, Yuhanis Kamaruddin, Siti Sakira |
| author_facet | Mustaffa, Zuriani Yusof, Yuhanis Kamaruddin, Siti Sakira |
| author_sort | Mustaffa, Zuriani |
| collection | UUM |
| description | 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 IABC serves as an optimizer for LSSVM.Realized in gasoline price forecasting, the performance is guided based on Mean Absolute Percentage Error (MAPE) and Root Mean Square Percentage Error (RMSPE).The conducted simulation results show that, the proposed IABCLSSVM
outperforms the results produced by ABC-LSSVM and also the Back Propagation Neural Network. |
| first_indexed | 2024-07-04T05:56:53Z |
| format | Conference or Workshop Item |
| id | uum-14831 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T05:56:53Z |
| publishDate | 2014 |
| publisher | Elsevier Ltd. |
| record_format | eprints |
| spelling | uum-148312016-05-23T07:26:52Z https://repo.uum.edu.my/id/eprint/14831/ Gasoline price forecasting: An application of LSSVM with improved ABC Mustaffa, Zuriani Yusof, Yuhanis Kamaruddin, Siti Sakira QA76 Computer software 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 IABC serves as an optimizer for LSSVM.Realized in gasoline price forecasting, the performance is guided based on Mean Absolute Percentage Error (MAPE) and Root Mean Square Percentage Error (RMSPE).The conducted simulation results show that, the proposed IABCLSSVM outperforms the results produced by ABC-LSSVM and also the Back Propagation Neural Network. Elsevier Ltd. 2014 Conference or Workshop Item PeerReviewed application/pdf en cc_by https://repo.uum.edu.my/id/eprint/14831/1/1-s2.0RG.pdf Mustaffa, Zuriani and Yusof, Yuhanis and Kamaruddin, Siti Sakira (2014) Gasoline price forecasting: An application of LSSVM with improved ABC. In: 2nd International Conference on Innovation, Management and Technology Research, 22 – 23 September, 2013, Klana Resort, Negeri Sembilan, Malaysia. http://doi.org/10.1016/j.sbspro.2014.03.718 doi:10.1016/j.sbspro.2014.03.718 doi:10.1016/j.sbspro.2014.03.718 |
| spellingShingle | QA76 Computer software Mustaffa, Zuriani Yusof, Yuhanis Kamaruddin, Siti Sakira Gasoline price forecasting: An application of LSSVM with improved ABC |
| title | Gasoline price forecasting: An application of LSSVM with improved ABC |
| title_full | Gasoline price forecasting: An application of LSSVM with improved ABC |
| title_fullStr | Gasoline price forecasting: An application of LSSVM with improved ABC |
| title_full_unstemmed | Gasoline price forecasting: An application of LSSVM with improved ABC |
| title_short | Gasoline price forecasting: An application of LSSVM with improved ABC |
| title_sort | gasoline price forecasting an application of lssvm with improved abc |
| topic | QA76 Computer software |
| url | https://repo.uum.edu.my/id/eprint/14831/1/1-s2.0RG.pdf |
| work_keys_str_mv | AT mustaffazuriani gasolinepriceforecastinganapplicationoflssvmwithimprovedabc AT yusofyuhanis gasolinepriceforecastinganapplicationoflssvmwithimprovedabc AT kamaruddinsitisakira gasolinepriceforecastinganapplicationoflssvmwithimprovedabc |