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...

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Bibliografische Detailangaben

Hauptverfasser:	Porya Ghasemi, Masoud Karbasi, Alireza Zamani Nouri, Mahdi Sarai Tabrizi, Hazi Mohammad Azamathulla
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2021-12-01
Schriftenreihe:	Alexandria Engineering Journal
Schlagworte:	Drought SPEI index Forecasting Machine learning Gaussian process regression
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S1110016821002647
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