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Predicting the state of the Earth's ozone layer for different time intervals with the use of neural networks

Описание

Тип публикации: статья из журнала

Год издания: 2005

Ключевые слова: algorithm, artificial neural network, temporal variation, total ozone

Аннотация: The problems of studying and simulating the Earth's ozone layer are discussed. It is shown that the construction of models for the total ozone content (TOC) in the stratosphere with the use of neural networks is promising. The neural-network algorithm used is described. TOC forecasts for different time periods are made using neuronПоказать полностьюetwork models.

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Издание

Журнал: IZVESTIYA ATMOSPHERIC AND OCEANIC PHYSICS

Выпуск журнала: Vol. 41, Is. 4

Номера страниц: 469-475

ISSN журнала: 00014338

Место издания: BIRMINGHAM

Издатель: INTERPERIODICA

Персоны

  • Kashkin V.B. (Krasnoyarsk State Technical University)
  • Lankin Yu.P. (Institute of Biophysics,Siberian Division,Russian Academy of Sciences)
  • Sakash I.Yu. (Institute of Biophysics,Siberian Division,Russian Academy of Sciences)

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