Multi-Head Time Series Prediction by Decomposition and LSTM-Self-Attention-LSTM Model-Reference-Cited by-同舟云学术

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Multi-Head Time Series Prediction by Decomposition and LSTM-Self-Attention-LSTM Model

Published:2023-11-22 Issue: Volume: Page:19-25
ISSN:
Container-title:2023 International Conference on Advanced Computing and Analytics (ACOMPA)
language:
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Author:

An Nguyen Hoang¹,Minh Ha Binh¹,Lam Mai Dinh²,Phung Phan Dinh¹,Minh Chu Binh³

Affiliation:

1. Ho Chi Minh University of Banking,Faculty of Management Information Systems,Ho Chi Minh City,Vietnam

2. National Academy of Public Administration,Faculty of Economic Social Management,Ho Chi Minh City,Vietnam

3. University of Economics-Technology for Industries,Faculty of Applied Science,Hanoi,Vietnam

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10473633/10473634/10473658.pdf?arnumber=10473658

Reference23 articles.

1. Time Series Prediction Based on Recursive Update Gaussian Kernel Function Networks

2. Deep Learning-Based Stock Price Prediction Using LSTM and Bi-Directional LSTM Model

3. Deep learning for time series forecasting: The electric load case

4. Forecasting the realized volatility of stock price index: A hybrid model integrating CEEMDAN and LSTM

5. Introduction to Time Series and Forecasting

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