Constructing an efficient machine learning model for tornado prediction
Atmospheric and Oceanic Physics
2018-06-18 v1 Optimization and Control
Abstract
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.
Keywords
Cite
@article{arxiv.1806.05857,
title = {Constructing an efficient machine learning model for tornado prediction},
author = {F. Aleskerov and N. Baiborodov and S. Demin and S. Shvydun and T. Trafalis and M. Richman and V. Yakuba},
journal= {arXiv preprint arXiv:1806.05857},
year = {2018}
}
Comments
Working paper WP7/2016/05. Moscow: HSE Publishing House, 2016