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Deep Learning Methodologies for Predicting Cyclone Arc Effectively

Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.9, No. 4)

Publication Date:

Authors : ; ; ; ;

Page : 36-39

Keywords : Artificial Intelligence; Machine Learning; Recurrent Neural Network; Gated Recurrent Unit; Cyclone;

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The most difficult thing in this world is to predict the weather and its effects. Cyclones are one of them which causes heavy damage. An efficient Artificial Intelligence system which can predict and warn about the upcoming cyclones would be a relief to the society. A system using Gated Recurrent Unit which is a newer generation of Recurrent Neural Network (RNN) for predicting the possibilities of upcoming cyclones and the areas that might be affected much ahead of time. Thus, the National Disaster Management Authority will be able to take prior preparation before the disaster so that the property damage and loss of lives can be reduced exponentially.

Last modified: 2020-04-26 00:44:21