Predicting the earth atmosphere's ozone layer conditions using neuronic networks for various timelags

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Год издания: 2003

Идентификатор DOI: 10.1117/12.497321

Ключевые слова: Atmosphere, Atmospheric models, Neuroinformatics, Ozone, Ozone layer, Ozone prediction, Stratosphere, Climate change, Computer simulation, Neural networks, Thermal effects, Upper atmosphere, Timelags

Аннотация: 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 (annual, monthly, diurnal and hourly), ozone concentration prognostic models are designed using neuronic neПоказать полностьюtworks.

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Издание

Журнал: Proceedings of SPIE - The International Society for Optical Engineering

Выпуск журнала: Vol. 5027

Номера страниц: 207-215

Персоны

  • Kashkin V.B. (Krasnoyarsk Stt. Technol. University, 26 Kirenskogo Street, Krasnoyarsk 660074, Russian Federation)
  • Lankin J.P. (Krasnoyarsk Stt. Technol. University, 26 Kirenskogo Street, Krasnoyarsk 660074, Russian Federation)
  • Sakash I.Yu. (Krasnoyarsk Stt. Technol. University, 26 Kirenskogo Street, Krasnoyarsk 660074, Russian Federation)
  • Smirnov S.V. (Krasnoyarsk Stt. Technol. University, 26 Kirenskogo Street, Krasnoyarsk 660074, Russian Federation)

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