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Regular version of the site

Working paper

Построение эффективной модели машинного обучения для предсказания торнадо.

Aleskerov F. T., Baiborodov N., Demin S. S., Richman M., Shvydun S., Trafalis T., Yakuba V. I.
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.