|Title of the article||
APPLICATION OF NEURAL NETWORK TECHNOLOGIES
Nikolaev Aleksandr Anatolevich, Candidate of geographical sciences, associate professor, sub-department of meteorology, climatology and atmosphere ecology, Kazan (Volga region) Federal University (18 Kremlyovskaya street, Kazan, Russia), Aleksandr.Nikolaev@kpfu.ru
Background. Solar radiation is the main factor in many physical, chemical and biological processes on the earth’s surface. However, solar flux data are not always available for a variety of reasons, e.g. a lack of meteorological stations or solar radiation observations on them. Thus, calculation of solar radiation fluxes appears to be a topical question. The main purpose of this study is to review artificial neural networks (ANN), in order to identify suitable models for calculation of solar radiation and to reveal research gaps.
neural networks, total radiation, prediction
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