Time series predictions with neural nets: Application to airborne pollen forecasting-Reference-Cited by-同舟云学术

Time series predictions with neural nets: Application to airborne pollen forecasting

Published:1993-09 Issue:3 Volume:37 Page:139-144
ISSN:0020-7128
Container-title:International Journal of Biometeorology
language:en
Short-container-title:Int J Biometeorol

Author:

Arizmendi C. M.,Sanchez J. R.,Ramos N. E.,Ramos G. I.

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Atmospheric Science,Ecology

Link

http://link.springer.com/content/pdf/10.1007/BF01212623.pdf

Reference16 articles.

1. Bianchi MM, Arizmendi CM, Sanchez JR (1992) Detection of chaos: New approach to atmospheric pollen series analysis. Int J Biometeorol 36:172?175

2. Comtois P, Sherknies D (1987) An aerobiological model for pollen forecasting. 18th Conference on Agricultural and Forest Meteorology ? 8th Conference on Biometeorology and Aerobiology, W. Lafayette, Indiana. American Meteorological Society, Boston, Mass

3. Comtois P, Batchelder G, Sherknies D (1989) Pre-season forecasting. In: Comtois P (ed) Aerobiology health environment: a symposium. University of Montreal, Montreal, Canada

4. Farmer JD, Sidorowich JJ (1987) Predicting chaotic time series. Phys Rev Lett 59:845?848

5. Goldberg C, Buch H, Moseholm L, Weeke E (1988) Airborne pollen records in Denmark, 1977?1986. Grana 27:209?218

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