DTDR–ALSTM: Extracting dynamic time-delays to reconstruct multivariate data for improving attention-based LSTM industrial time series prediction models
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Information Systems and Management,Management Information Systems,Software
Reference37 articles.
1. A multi-level prediction model of Carbon efficiency based on Differential Evolution Algorithm for Iron ore Sintering Process;Hu;IRE Trans. Ind. Electron.,2018
2. Hybrid cycle reservoir with jumps for multivariate time series prediction: an industrial application in oil drilling process;Li;Meas. Sci. Technol.,2019
3. Energy saving and prediction modeling of petrochemical industries: A novel ELM based on FAHP;Geng;Energy,2017
4. Neural networks based model predictive control of an industrial polypropylene process;Wei,2002
5. Recurrent neural networks for Multivariate Time Series with missing values;Che;Sci. Rep.,2018
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