58700

Автор(ов): 

6

Параметры публикации
Тип публикации: 
Статья в журнале/сборнике
Название: 
Constructing an Efficient Machine Learning Model for Tornado Prediction
DOI: 
10.1142/S0219622020500261
Наименование источника: 
International Journal of Information Technology and Decision Making
Обозначение и номер тома: 
Vol.19, № 05
Город: 
Singapore
Издательство: 
World Scientific Publishing Co Pte Ltd
Год издания: 
2020
Страницы: 
1177-1187
Аннотация
Tornado prediction variables are analyzed using machine learning and decision analysis techniques. A model based on several choice procedures and the superposition principle is applied for different methods of data analysis. The constructed model has been tested on a database of tornadic events. It is shown that the tornado prediction model developed herein is more efficient than a previous set of machine learning models, opening the way to more accurate decisions.
Библиографическая ссылка: 
Алескеров Ф.Т., Демин С.С., Швыдун С.В., Якуба В.И., Трафалис Т.Т., Ричман М.М. Constructing an Efficient Machine Learning Model for Tornado Prediction // International Journal of Information Technology and Decision Making. 2020. Vol.19, № 05. С. 1177-1187.