Predicting the Earth atmosphere's ozone layer conditions using neuronic networks for various time lags

Valentin B. Kashkin; Juliy P. Lankin; Irina Yu. Sakash; Sergei V. Smirnov

doi:10.1117/12.497321

28 March 2003 Predicting the Earth atmosphere's ozone layer conditions using neuronic networks for various time lags

Valentin B. Kashkin, Juliy P. Lankin, Irina Yu. Sakash, Sergei V. Smirnov

Proceedings Volume 5027, Ninth Joint International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics. Part II: Laser Sensing and Atmospheric Physics; (2003) https://doi.org/10.1117/12.497321
Event: Ninth Joint International symposium on Atmospheric and Ocean Optics, 2002, Tomsk, Russian Federation

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.

Citation Download Citation

Valentin B. Kashkin, Juliy P. Lankin, Irina Yu. Sakash, and 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); https://doi.org/10.1117/12.497321

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