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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Dades bibliogràfiques

Autors principals:	Rana Muhammad Adnan Ikram, Xinyi Cao, Kulwinder Singh Parmar, Ozgur Kisi, Shamsuddin Shahid, Mohammad Zounemat-Kermani
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2023-07-01
Col·lecció:	Mathematics
Matèries:	significant wave height short-term prediction Gaussian process regression partial least square regression
Accés en línia:	https://www.mdpi.com/2227-7390/11/14/3141
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