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A Novel Hybrid Data-Driven Model for Daily Land Surface Temperature Forecasting Using Long Short-Term Memory Neural Network Based on Ensemble Empirical Mode Decomposition

Daily land surface temperature (LST) forecasting is of great significance for application in climate-related, agricultural, eco-environmental, or industrial studies. Hybrid data-driven prediction models using Ensemble Empirical Mode Composition (EEMD) coupled with Machine Learning (ML) algorithms ar...

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Detalles Bibliográficos
Autores principales:	Zhang, Xike, Zhang, Qiuwen, Zhang, Gui, Nie, Zhiping, Gui, Zifan, Que, Huafei
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2018
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982071/ https://www.ncbi.nlm.nih.gov/pubmed/29883381 http://dx.doi.org/10.3390/ijerph15051032

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