Modeling significant wave heights for multiple time horizons using metaheuristic regression methods
The study examines the applicability of six metaheuristic regression techniques—M5 model tree (M5RT), multivariate adaptive regression spline (MARS), principal component regression (PCR), random forest (RF), partial least square regression (PLSR) and Gaussian process regression (GPR)—for predicting...
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| 主要な著者: | , , , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
MDPI
2023
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| 主題: | |
| オンライン･アクセス: | http://eprints.utm.my/105675/1/ShamsuddinShahid2023_ModelingSignificantWaveHeights.pdf http://eprints.utm.my/105675/ http://dx.doi.org/10.3390/math11143141 |
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