Multi-scale deep echo state network for time series prediction
Author:
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Natural Science Foundation of Jiangxi Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00521-024-09761-4.pdf
Reference39 articles.
1. Wang H, Liu Y, Lu P et al (2022) Echo state network with logistic mapping and bias dropout for time series prediction. Neurocomputing 489:196–210
2. Hua Y, Zhao Z, Li R et al (2019) Deep learning with long short-term memory for time series prediction. IEEE Commun Mag 57(6):114–119
3. Livieris IE, Pintelas E, Pintelas P (2020) A CNN-LSTM model for gold price time-series forecasting. Neural Comput Appl 32:17351–17360
4. Jiang R, Zeng S, Song Q et al (2022) Deep-chain echo state network with explainable temporal dependence for complex building energy prediction. IEEE Trans Ind Inform 19(1):426–435
5. Guo X, Zhang X, Lu W et al (2022) Real-time prediction of 6-DOF motions of a turret-moored FPSO in harsh sea state. Ocean Eng 265:112500
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