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The practice ofconnectionist modelfor predicting forestfires in the Arcticzones of theKrasnoyarsk Territory Grebnev Y.Moskalev A.Vershkov A.2019 год

The practice of connectionist model for predicting forest fires in the Arctic zones of the Krasnoyarsk Territory : научное издание
статья из журнала

Дополнительные ссылки: eLibrary
База данных: Каталог библиотеки СФУ
Библиографическое описание: The practice of connectionist model for predicting forest fires in the Arctic zones of the Krasnoyarsk Territory : научное издание / Y. Grebnev [et al.]. - Текст : непосредственный // International Journal of System Assurance Engineering and Management. - 2019. - № . - ISSN 0975-6809. - ISSN 0976-4348.
Аннотация: This paper presents data on the localization and number of forest fires that occur in the Arctic zones of the Krasnoyarsk Territory, as well as the possible causes of their occurrence. It is established that the main cause of forest and landscape fires are natural phenomena. A database of data normalized in a certain way about the factors shaping the occurrence of natural forest and landscape fires has been formed. The practice of connectionist algorithms, a forecasting model has been developed, and, based on data on forest and landscape fires in the Krasnoyarsk Territory; a model has been evaluated for using the model to predict fires in 2018. In order to compile a forecast of forest and landscape fires for 2019 in the Arctic zones of the Krasnoyarsk Territory using the connectionist algorithms, an optimal neuroarchitecture was chosen, which allows long-term time series forecasting.
Год издания: 2019
Авторы: Grebnev Y. , Moskalev A. , Vershkov A. , Gazizulina A.
Источник: International Journal of System Assurance Engineering and Management
Держатель оригинала документа: Center for Crisis Management of the Head Office of the Emercom of Russia in the Krasnoyarsk Territory, Peter the Great St. Petersburg Polytechnic University, Siberian Federal University
Количество экземпляров:
Твёрдая копия издания отсутствует в фонде библиотеки

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