Assessment of neural networks and time series analysis to forecast airborne Parietaria pollen presence in the Atlantic coastal regions.

Valencia, J A; Astray, G; Fernández-González, M; Aira, M J; Rodríguez-Rajo, F J

Valencia, J A; Astray, G; Fernández-González, M; Aira, M J; Rodríguez-Rajo, F J.

Afiliación

Valencia JA; Department of Plant Biology and Soil Sciences, Faculty of Sciences, University of Vigo, 32004, Ourense, Spain.
Astray G; Physical Chemistry Department, Faculty of Science, University of Vigo, 32004, Ourense, Spain.
Fernández-González M; Department of Plant Biology and Soil Sciences, Faculty of Sciences, University of Vigo, 32004, Ourense, Spain.
Aira MJ; Botany Department, Faculty of Pharmacy, University of Santiago, 15782, Santiago Compostela, Spain.
Rodríguez-Rajo FJ; Department of Plant Biology and Soil Sciences, Faculty of Sciences, University of Vigo, 32004, Ourense, Spain. javirajo@uvigo.es.

Int J Biometeorol ; 63(6): 735-745, 2019 Jun.

Article en En | MEDLINE | ID: mdl-30778684

Asunto(s)

Parietaria; Rinitis Alérgica Estacional; Alérgenos; Humanos; Polen; España

Palabras clave

Artificial neural networks; Modeling; Parietaria pollen; Time series analysis

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Rinitis Alérgica Estacional / Parietaria Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: Europa Idioma: En Revista: Int J Biometeorol Año: 2019 Tipo del documento: Article País de afiliación: España Pais de publicación: Estados Unidos

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