A real time prediction methodology for hurricane evolution using LSTM recurrent neural networks
Crossref DOI link: https://doi.org/10.1007/s00521-022-07384-1
Published Online: 2022-05-30
Published Print: 2022-10
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Bose, Rikhi https://orcid.org/0000-0002-4834-2814
Pintar, Adam
Simiu, Emil
Text and Data Mining valid from 2022-05-30
Version of Record valid from 2022-05-30
Article History
Received: 25 November 2021
Accepted: 28 April 2022
First Online: 30 May 2022
Declarations
:
: The authors have no conflicts of interest to declare.