28 March 2003 Predicting the Earth atmosphere's ozone layer conditions using neuronic networks for various time lags
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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.
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Valentin B. Kashkin, Valentin B. Kashkin, Juliy P. Lankin, Juliy P. Lankin, Irina Yu. Sakash, Irina Yu. Sakash, Sergei V. Smirnov, Sergei V. Smirnov, } "Predicting the Earth atmosphere's ozone layer conditions using neuronic networks for various time lags", 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; https://doi.org/10.1117/12.497321
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