Evaluation of atmospheric Poaceae pollen concentration using a neural network applied to a coastal Atlantic climate region

Author:

Rodríguez-Rajo F.J.,Astray G.,Ferreiro-Lage J.A.,Aira M.J.,Jato-Rodriguez M.V.,Mejuto J.C.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference41 articles.

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2. Arenas, L., González, C., Tabarés, J. M., Iglesias, 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. In Proceedings of the first European symposium on aerobiology (pp. 93–94)

3. Time series predictions with neural sets: Application to airborne pollen forecasting;Arizmendi;International Journal of Biometeorology,1993

4. Neural networks for pattern recognition;Bishop,1995

5. The relationship between airborne pollen grains and unusual weather conditions in Turin (Italy) in 1989, 1990 and 1991;Caramiello;Grana,1994

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