Investigation of a transformer-based hybrid artificial neural networks for climate data prediction and analysis

Investigation of a transformer-based hybrid artificial neural networks for climate data prediction and analysis

IntroductionClimate change isone of the major challenges facing the world today, causing frequent extreme weather events that significantly impact human production, life, and the ecological environment. Traditional climate prediction models largely rely on the simulation of physical processes. While...

Full description

Saved in:
Bibliographic Details
Main Authors: Shangke Liu, Ke Liu, Zheng Wang, Yuanyuan Liu, Bin Bai, Rui Zhao
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Environmental Science
Subjects:
climate prediction
sequentially
hybrid deep learning
CNN
LSTM
transformer
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2024.1464241/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items