Advancing Time Series Forecasting: LSTM Networks with Multiple Attention Mechanisms
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-68617-7_9
Reference8 articles.
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3. Kuranga, C., Pillay, N.: A comparative study of nonlinear regression and autoregressive techniques in hybrid with particle swarm optimization for time-series forecasting. Expert Syst. Appl. 190, 116163 (2022)
4. Lindemann, B., Müller, T., Vietz, H., Jazdi, N., Weyrich, M.: A survey on long short-term memory networks for time series prediction. Procedia CIRP 99, 650–655 (2021)
5. Murray-Smith, R., Johansen, T.: Multiple Model Approaches to Nonlinear Modelling and Control. CRC Press, Boca Raton (2020)
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