Artificial Neural Networks, Sequence-to-Sequence LSTMs, and Exogenous Variables as Analytical Tools for NO(2) (Air Pollution) Forecasting: A Case Study in the Bay of Algeciras (Spain)

This study aims to produce accurate predictions of the NO(2) concentrations at a specific station of a monitoring network located in the Bay of Algeciras (Spain). Artificial neural networks (ANNs) and sequence-to-sequence long short-term memory networks (LSTMs) were used to create the forecasting mo...

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Detalles Bibliográficos
Autores principales: González-Enrique, Javier, Ruiz-Aguilar, Juan Jesús, Moscoso-López, José Antonio, Urda, Daniel, Deka, Lipika, Turias, Ignacio J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961900/
https://www.ncbi.nlm.nih.gov/pubmed/33806409
http://dx.doi.org/10.3390/s21051770

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961900/
https://www.ncbi.nlm.nih.gov/pubmed/33806409
http://dx.doi.org/10.3390/s21051770

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