Temporal patterns decomposition and Legendre projection for long-term time series forecasting

Long-term time series forecasting (LTSF) means utilizing historical data to forecast future sequences that are relatively distant in time, providing support for long-term warnings, planning, and decision-making. LTSF is more challenging than short-term forecasting due to its larger output length. It...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	The Journal of supercomputing Ročník 80; číslo 16; s. 23407 - 23441
Hlavní autoři:	Liu, Jianxin, Ma, Tinghuai, Su, Yuming, Rong, Huan, Khalil, Alaa Abd El-Raouf Mohamed, Wahab, Mohamed Magdy Abdel, Osibo, Benjamin Kwapong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.11.2024 Springer Nature B.V
Témata:	Accuracy Artificial neural networks Compilers Computer Science Decomposition Efficiency Forecasting Fuzzy logic Interpreters Multilayer perceptrons Neural networks Polynomials Processor Architectures Programming Languages Recurrent neural networks Sequences Task complexity Time series Long-term temporal dependencies Long-term time series forecasting Legendre polynomial projection Neural networks Temporal patterns decomposition
ISSN:	0920-8542, 1573-0484
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!