Artificial neural networks as a useful tool to predict the risk level of Betula pollen in the air-Reference-Cited by-同舟云学术

Artificial neural networks as a useful tool to predict the risk level of Betula pollen in the air

Published:2005-01-13 Issue:5 Volume:49 Page:310-316
ISSN:0020-7128
Container-title:International Journal of Biometeorology
language:en
Short-container-title:Int J Biometeorol

Author:

Castellano-Méndez M.,Aira M. J.,Iglesias I.,Jato V.,González-Manteiga W.

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Atmospheric Science,Ecology

Link

http://link.springer.com/content/pdf/10.1007/s00484-004-0247-x.pdf

Reference50 articles.

1. Aira MJ, Jato V, Iglesias I (1998) Alnus and Betula pollen content in the atmosphere of Santiago de Compostela, north-western Spain (1993–1995). Aerobiologia 14:135–140

2. Aira MJ, Ferreiro M, Iglesias I, Jato V, Marcos C, Varela S, Vidal C (2001) Aeropalinología de cuatro ciudades de Galicia y su incidencia sobre la sintomatología alérgica estacional. Actas XIII Simposio de la A.P.L.E.Cartagena

3. Agresti A (1990) Categorical data analysis. Wiley, New York

4. Andersen TB (1991) A model to predict the beginning of the pollen season. Grana 30:269–275

5. Arenas L, González C, Tabarés JM, Iglésias I, Méndez J, Jato V (1996) Sensibilización cutánea a pólenes en pacientes afectos de rinoconjuntivitis-asma en la población de Ourense en el año 1994–95. 1st European symposium on aerobiology, Santiago de Compostela, 11–13 September 1996

Cited by 44 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Comparison of Models for the Forecast of Daily Concentration Thresholds of Airborne Fungal Spores;Atmosphere;2023-06-13

2. RETRACTED:Pollen risk levels prediction from multi-source historical data;Data & Knowledge Engineering;2022-11

3. Aerobiological modeling I: A review of predictive models;Science of The Total Environment;2021-11

4. Machine Learning, Big Data, and Spatial Tools: A Combination to Reveal Complex Facts That Impact Environmental Health;Geospatial Technology for Human Well-Being and Health;2021-05-04

5. Forecasting Betula and Poaceae airborne pollen concentrations on a 3-hourly resolution in Augsburg, Germany: toward automatically generated, real-time predictions;Aerobiologia;2021-03-16