Paper
14 February 2008 The neural network prediction dynamics of the ozone layer
Irina Yu. Sakash, Juliy P. Lankin
Author Affiliations +
Proceedings Volume 6936, Fourteenth International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics; 69361Y (2008) https://doi.org/10.1117/12.783679
Event: Fourteenth International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics, 2007, Buryatia, Russian Federation
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Irina Yu. Sakash and Juliy P. Lankin "The neural network prediction dynamics of the ozone layer", Proc. SPIE 6936, Fourteenth International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics, 69361Y (14 February 2008); https://doi.org/10.1117/12.783679
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KEYWORDS
Ozone

Neural networks

Atmospheric modeling

Systems modeling

Data modeling

Process modeling

Evolutionary algorithms

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