Time Series Prediction Based on LSTM-Attention-LSTM Model

Time Series Prediction Based on LSTM-Attention-LSTM Model

Time series forecasting uses data from the past periods of time to predict future information, which is of great significance in many applications. Existing time series forecasting methods still have problems such as low accuracy when dealing with some non-stationary multivariate time series data fo...

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Bibliographic Details
Main Authors: Xianyun Wen, Weibang Li
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Time series forecasting
long short-term memory networks
encoder and decoder model
attention mechanisms
Online Access:https://ieeexplore.ieee.org/document/10124729/

Internet

https://ieeexplore.ieee.org/document/10124729/

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