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Proceedings Paper

The neural network prediction dynamics of the ozone layer
Author(s): Irina Yu. Sakash; Juliy P. Lankin
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Paper Abstract

The study data on the adaptive neural network modeling are represented. The networks trained using the back-propagation algorithm, widespread in the contemporary neural automatics. Stratospheric and tropospheric ozone concentration forecast issues are addressed. The neural networks have been used for the purposes of developing ozone concentration prognostic models as well as of forecasting TOC (total ozone concentration) values within a week period.

Paper Details

Date Published: 14 February 2008
PDF: 8 pages
Proc. SPIE 6936, Fourteenth International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics, 69361Y (14 February 2008); doi: 10.1117/12.783679
Show Author Affiliations
Irina Yu. Sakash, Krasnoyarsk State Agrarian Univ. (Russia)
Juliy P. Lankin, Institute of Biophysics (Russia)


Published in SPIE Proceedings Vol. 6936:
Fourteenth International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics

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