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Proceedings Paper

Predicting the Earth atmosphere's ozone layer conditions using neuronic networks for various time lags
Author(s): Valentin B. Kashkin; Juliy P. Lankin; Irina Yu. Sakash; Sergei V. Smirnov
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Paper Abstract

The work is focused upon a number of issues related to Earth's ozonosphere. The existing atmospheric models' strengths and weaknesses are investigated, as well as the benefits of neuro-network models. For different timescales, ozone concentration prognostic models are designed using neuronic networks.

Paper Details

Date Published: 28 March 2003
PDF: 9 pages
Proc. SPIE 5027, Ninth Joint International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics. Part II: Laser Sensing and Atmospheric Physics, (28 March 2003); doi: 10.1117/12.497321
Show Author Affiliations
Valentin B. Kashkin, Krasnoyarsk State Technical Univ. (Russia)
Juliy P. Lankin, Institute of Biophysics (Russia)
Irina Yu. Sakash, Krasnoyarsk State Technical Univ. (Russia)
Sergei V. Smirnov, Institute of Atmospheric Optics (Russia)


Published in SPIE Proceedings Vol. 5027:
Ninth Joint International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics. Part II: Laser Sensing and Atmospheric Physics
Gennadii G. Matvienko; Vladimir P. Lukin, Editor(s)

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