Improving grasshopper optimization algorithm for hyperparameters estimation and feature selection in support vector regression
High-dimensionality is one of the major problems which affect the quality of the classification and prediction modeling. Support vector regression has been applied in several real problems. However, it is usually needed to tune manually the hyperparameters.In addition, SVR cannot perform feature sel...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Elsevier B.V.
2021
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/95220/ http://dx.doi.org/10.1016/j.chemolab.2020.104196 |
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| Institution: | Universiti Teknologi Malaysia |