Investigation of the impact of token embeddings in Transformer-based models on short-term tropical cyclone track and intensity predictions

Investigation of the impact of token embeddings in Transformer-based models on short-term tropical cyclone track and intensity predictions

Tropical cyclones (TCs) are destructive meteorological phenomena, necessitating accurate predictions of TC track and intensity to reduce risks to human life. This study evaluates three Transformer-based models – vanilla Transformer (Transformer), inverted Transformer (iTransformer), and temporal-var...

Fuld beskrivelse

Saved in:
Bibliografiske detaljer
Main Authors: Yuan-Jiang Zeng, Yi-Qing Ni, Zheng-Wei Chen, Guang-Zhi Zeng, Jia-Yao Wang, Pak-Wai Chan
Format: Article
Sprog:engelsk
Udgivet: Taylor & Francis Group 2025-12-01
Serier:Engineering Applications of Computational Fluid Mechanics
Fag:
Tropical cyclones
track
intensity
Transformer
token embeddings
Online adgang:https://www.tandfonline.com/doi/10.1080/19942060.2025.2538180
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!
Vær først til at give en kommentarø!
Du skal først være logget ind

Lignende værker