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...

Descripción completa

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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982071/
https://www.ncbi.nlm.nih.gov/pubmed/29883381
http://dx.doi.org/10.3390/ijerph15051032

Ejemplares similares