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Building a model forpredicting firedynamics : доклад,тезисы доклада Kene LevKuzmich Roman2025 год

Building a model for predicting fire dynamics : доклад, тезисы доклада
доклад, тезисы доклада, статья из сборника материалов конференций

Дополнительные ссылки: eLibrary · Источник статьи
База данных: Каталог библиотеки СФУ
Библиографическое описание: Building a model for predicting fire dynamics : доклад, тезисы доклада / L. L. Kene, R. R. Kuzmich. - [S. l. : s. n.], 2025. - Текст : непосредственный // ITM Web of Conferences : III International Workshop / Hybrid Methods of Modeling and Optimization in Complex Systems (HMMOCS-III 2024) (2024 ; 02.12 - 04.12 ; Krasnoyarsk). - Krasnoyarsk, 2025. - P. 3005. - This work was supported by the Ministry of Science and Higher Education of the Russian Federation (Grant No. 075-15-2022-1121). - DOI 10.1051/itmconf/20257203005.
Аннотация: The paper compares known classification algorithms (logistic regression, k-nearest neighbors, support vector machine, stacking) on the problem of predicting the fire class. A feature of this problem is that it takes into account the specifics of the initial data at the exploratory analysis stage, i.e. before using the initial data by classification algorithms. First, at the exploratory analysis stage, it is necessary to solve the problem of selecting factors to predict the fire class. Second, check the initial data for gaps and outliers. Third, normalize the data in order to prepare them for building a model for predicting fire dynamics. Experimental studies are conducted on data on fires in the Krasnoyarsk Krai from 2010 to 2020.
Год издания: 2025
Авторы: Kene Lev , Kuzmich Roman
Издательство: Krasnoyarsk
Источник: ITM Web of Conferences
Номера страниц: 3005
Держатель оригинала документа: Siberian Federal University
Мероприятие: Hybrid Methods of Modeling and Optimization in Complex Systems (HMMOCS-III 2024) (Krasnoyarsk, 2024 ; 02.12 - 04.12)
Количество экземпляров:
Твёрдая копия издания отсутствует в фонде библиотеки

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