Skip to main content
Have a personal or library account? Click to login
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: ,   and    
Open Access
|Oct 2025
Articles in this issue
DOI: https://doi.org/10.2478/eces-2025-0021 | Journal eISSN: 2084-4549 (formerly 1898-6196) | Journal ISSN: 1898-6196
Journal RSS Feed
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
Keywords:
time series,
LSTM,
BiLSTM,
Q-Network,
cement manufacturing process,
industrial data-driven,
deep learning,
regression analysis
Related subjects:
Chemistry,
Sustainable and green chemistry,
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)
Previous article
Next article