Air Quality Forecasting in Madrid Using Long Short-Term Memory Networks-Reference-Cited by-同舟云学术

Air Quality Forecasting in Madrid Using Long Short-Term Memory Networks

Published:2017 Issue: Volume: Page:232-239
ISSN:0302-9743
Container-title:Biomedical Applications Based on Natural and Artificial Computing
language:
Short-container-title:

Author:

Pardo Esteban,Malpica Norberto

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-59773-7_24

Reference22 articles.

1. Real Decreto 102/2011, de 28 de enero, relativo a la mejora de la calidad del aire

2. PROTOCOLO DE MEDIDAS, A ADOPTAR DURANTE EPISODIOS DE ALTA CONTAMINACIN POR DIXIDO DE NITRGENO (2016). http://www.madrid.es/UnidadesDescentralizadas/UDCMedios/noticias/2016/01Enero/21Jueves/Notasprensa/Nuevo%20protocolo%20contaminaci%C3%B3n/ficheros/Protocolo_NO2.pdf . Accessed 5 Mar 2017

3. DGT statistics for Madrid. http://www.dgt.es/informacion-municipal/2015/individuales/madrid/28079_Madrid.pdf . Accessed 5 Mar 2017

4. Sistema de Prediccin. http://www.mambiente.munimadrid.es/opencms/opencms/calaire/SistemaIntegral/SistPrediccion.html . Accessed 5 Mar 2017

5. Baldasano, J.M., Jorba, O., Gass, S., Pay, M.T., Arevalo, G.: CALIOPE: sistema de pronstico operacional de calidad del aire para Europa y Espaa

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