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Forecasting the Required Quantity of Cement Manufacturing Materials Using Time Series and Q-Network Techniques Cover

Forecasting the Required Quantity of Cement Manufacturing Materials Using Time Series and Q-Network Techniques

Ecological Chemistry and Engineering S
Volume 32 (2025): Issue 3 (September 2025)
By: Hassina Madjour,  Hanane Zermane and  Sonia Benaicha  
Open Access
|Oct 2025
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DOI: https://doi.org/10.2478/eces-2025-0021 | Journal eISSN: 2084-4549 | Journal ISSN: 1898-6196
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Language: English
Page range: 415 - 426
Published on: Oct 10, 2025
Published by: Society of Ecological Chemistry and Engineering
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
time series,
LSTM,
BiLSTM,
Q-Network,
cement manufacturing process,
industrial data-driven,
deep learning,
regression analysis
Related subjects:
Chemistry,
Sustainable and green chemistry,
Engineering,
Electrical engineering,
Energy engineering,
Life sciences,
Ecology

© 2025 Hassina Madjour, Hanane Zermane, Sonia Benaicha, published by Society of Ecological Chemistry and Engineering
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 32 (2025): Issue 3 (September 2025)
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