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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Autori principali:	Rana Muhammad Adnan Ikram, Xinyi Cao, Kulwinder Singh Parmar, Ozgur Kisi, Shamsuddin Shahid, Mohammad Zounemat-Kermani
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2023-07-01
Serie:	Mathematics
Soggetti:	significant wave height short-term prediction Gaussian process regression partial least square regression
Accesso online:	https://www.mdpi.com/2227-7390/11/14/3141
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