38652

Автор(ов): 

6

Параметры публикации
Тип публикации: 
Статья в журнале/сборнике
Название: 
CONSTRUCTING AN EFFICIENT MACHINE LEARNING MODEL FOR TORNADO PREDICTION
Наименование источника: 
Working Paper WP7/2016/05 Series WP7 (Препринты НИУ ВШЭ)
Город: 
Москва
Издательство: 
Издательский дом НИУ ВШЭ
Год издания: 
2016
Страницы: 
1-24
Аннотация
Tornado prediction methods and main mechanisms of tornado genesis were analyzed. A model, based on the superposition principle, has been built. For efficiency evaluation, the constructed model has been tested on real-life data obtained from the University of Oklahoma (USA). It is shown that the constructed tornado prediction model is more efficient than all previous models.
Библиографическая ссылка: 
Алескеров Ф.Т., Байбородов Н.Н., Демин С.С., Ричман М.М., Швыдун С.В., Трафалис Т.Т. CONSTRUCTING AN EFFICIENT MACHINE LEARNING MODEL FOR TORNADO PREDICTION // Working Paper WP7/2016/05 Series WP7 (Препринты НИУ ВШЭ). 2016. С. 1-24.