TACDformer: an improved informer-based model for accurate multivariate long-term time series forecasting

Abstract Transformer-based models have exhibited superior performance in the field of multivariate long-sequence time series forecasting. The Informer model, which adopts the probabilistic sparse self-attention mechanism, presents advantages in computational complexity compared to other models. Howe...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Zeyu Hu, Yuan Jia, Wu Le, Zhenhong Jia, Congbing He, Huihui Fan, Jie Meng
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Nature Portfolio 2026-04-01
Цуврал:	Scientific Reports
Нөхцлүүд:	Multivariate time series Forecasting Transformer-based model Attention mechanism
Онлайн хандалт:	https://doi.org/10.1038/s41598-026-46529-3
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!