Application of Gaussian process regression to forecast multi-step ahead SPEI drought index

Forecasting of drought can be very useful in preparing to reduce its impacts, especially in the agricultural sector. Three machine learning models of MLP neural network, GRNN neural network, and Gaussian process regression were used to forecast the annual drought index (SPEI12) in intervals of 1 to...

Descripció completa

Dades bibliogràfiques

Autors principals:	Porya Ghasemi, Masoud Karbasi, Alireza Zamani Nouri, Mahdi Sarai Tabrizi, Hazi Mohammad Azamathulla
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2021-12-01
Col·lecció:	Alexandria Engineering Journal
Matèries:	Drought SPEI index Forecasting Machine learning Gaussian process regression
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S1110016821002647
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!