Ensemble Transfer Learning for Time Series Forecasting: a Sensitivity Analysis Framework for a Shallow Neural Network

Author:

Kambale Witesyavwirwa Vianney1,Deeb Ali1,Benarbia Taha2,Salem Mohamed1,Machot Fadi Al3,Kyamakya Kyandoghere4

Affiliation:

1. Institute for Smart Systems Technologies Universitaet Klagenfurt,Klagenfurt,Austria

2. Institute of Maintenance and Industrial Security University of Oran 2,Oran,Algeria

3. Norwegian University of Life Sciences (NMBU) Ås,Faculty of Science and Technology,Norway

4. Universitaet Klagenfurt /Inst. f Smart Systems Technologies, Austria,Faculté Polytechnique Université de Kinshasa,DR-Congo

Publisher

IEEE

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. On-the-fly training architecture for a time-series neural network on ADITYA/ADITYA-U data;Radiation Effects and Defects in Solids;2024-05-22

2. Ensemble Transfer Learning for Time Series Forecasting: A Comparative Sensitivity Analysis of Two Shallow Networks;2023 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS);2023-12-04

3. Transformers in Time Series Forecasting: A brief Analysis of the Autoformer Transfer Learning Performance;2023 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS);2023-12-04

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