LS-SVM Hyper-parameters Optimization Based on GWO Algorithm for Time Series Forecasting
The importance of optimizing Least Squares Support Vector Machines (LSSVM) embedded control parameters has motivated researchers to search for proficient optimization techniques. In this study, a new metaheuristic algorithm, viz., Grey Wolf Optimizer (GWO), is employed to optimize the parameter...
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| Pengarang-pengarang Utama: | , , |
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| Format: | Conference or Workshop Item |
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2015
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| Subjek-subjek: | |
| Capaian Atas Talian: | http://dx.doi.org/10.1109/ICSECS.2015.7333107 http://dx.doi.org/10.1109/ICSECS.2015.7333107 http://umpir.ump.edu.my/11215/1/LS-SVM%20Hyper-parameters%20Optimization%20based%20on%20GWO%20Algorithm%20for%20Time%20Series%20Forecasting.pdf |
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