Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks-Reference-Cited by-同舟云学术

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Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks

Published:2024-08 Issue:8 Volume:5 Page:4258-4268
ISSN:2691-4581
Container-title:IEEE Transactions on Artificial Intelligence
language:
Short-container-title:IEEE Trans. Artif. Intell.

Author:

Ma'sum Muhammad Anwar¹^ORCID,Sarkar MD Rasel²^ORCID,Pratama Mahardhika¹^ORCID,Ramasamy Savitha³^ORCID,Anavatti Sreenatha²^ORCID,Liu Lin¹^ORCID,Habibullah Habibullah¹^ORCID,Kowalczyk Ryszard¹^ORCID

Affiliation:

1. STEM, University of South Australia, Adelaide, SA, Australia

2. SEIT, University of New South Wales, Canberra, NSW, Australia

3. I2R, A*Star, Singapore

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9078688/10635096/10439265.pdf?arnumber=10439265

Reference38 articles.

1. Online incremental feature learning with denoising autoencoders;Zhou,2012

2. Online Deep Learning: Learning Deep Neural Networks on the Fly

3. MUSE-RNN: A Multilayer Self-Evolving Recurrent Neural Network for Data Stream Classification

4. Automatic Construction of Multi-layer Perceptron Network from Streaming Examples

5. Autonomous Deep Learning: Continual Learning Approach for Dynamic Environments

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