A Hybrid Least Squares Support Vector Machine with Bat and Cuckoo Search Algorithms for Time Series Forecasting
Least Squares Support Vector Machine (LSSVM) has been known to be one of the effective forecasting models. However, its operation relies on two important parameters (regularization and kernel). Pre-determining the values of parameters will affect the results of the forecasting model; hence, to find...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Utara Malaysia Press
2020
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/28795/1/JICT%2019%2003%202020%20351-379.pdf https://repo.uum.edu.my/id/eprint/28795/ |
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