CMMamba: channel mixing Mamba for time series forecasting

Abstract Transformer-based methods have achieved excellent results in the field of time series forecasting due to their powerful ability to model sequences and capture their long-term dependencies. However, Transformer-based methods are still computationally inefficient and have high costs when mode...

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Principais autores:	Qiang Li, Jiwei Qin, Daishun Cui, Dezhi Sun, Dacheng Wang
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	SpringerOpen 2024-10-01
סדרה:	Journal of Big Data
נושאים:	Time series Forecasting Channel mixing Mamba
גישה מקוונת:	https://doi.org/10.1186/s40537-024-01001-9
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!