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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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI
2023
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| Subjects: | |
| Online Access: | 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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