Application of artificial neural networks for identification of non-normative errors in measuring instruments for controlling the induction soldering process

Описание

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

Конференция: International Multidisciplinary Scientific Geoconference, SGEM 2018

Год издания: 2018

Идентификатор DOI: 10.5593/sgem2018/2.1/S07.015

Ключевые слова: Climate change, Heat radiation, Hydroelectric power, Hydroelectric power plants, Industrial emissions, Infrared radiation, Landforms, Remote sensing, Rivers, Satellites, Space optics, Surface measurement, Surface properties, Vegetation, Ground-based obser

Аннотация: The temperature at the Earth’s surface can be estimated by ground-based methods or satellite remote sensing data. Satellite remote sensing is the only means of obtaining long-term homogeneous series of land surface temperature data. The network of ground-

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Издание

Журнал: International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM

Выпуск журнала: Vol. 18, Is. 02.01.2019

Номера страниц: 117-124

ISSN журнала: 13142704

Издатель: International Multidisciplinary Scientific Geoconference

Авторы

  • Tynchenko V. (Siberian Federal University, Russian Federation)
  • Milov A.
  • Tynchenko V. (Siberian Federal University, Russian Federation)
  • Bukhtoyarov V. (Siberian Federal University, Russian Federation)
  • Antamoshkin O. (Siberian Federal University, Russian Federation)

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