Predictive Model for Cement Clinker Quality Parameters

Journal of Materials Science and Chemical Engineering

ISSN Print: 2327-6045
ISSN Online: 2327-6053
www.scirp.net/journal/msce
E-mail: [email protected]

Citations

"Predictive Model for Cement Clinker Quality Parameters"
written by Nsidibe-Obong Ekpe Moses, Sunday Boladale Alabi,
published by Journal of Materials Science and Chemical Engineering, Vol.4 No.7, 2016

has been cited by the following article(s):

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[8]	Parametric Study of Matisaa Gray Rock as a Potential Clinker Material
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[9]	INVESTIGATION OF MATISAA GRAY ROCK AS A POTENTIAL RAW MATERIAL FOR THE MANUFACTURE OF CEMENT
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[10]	Modelo paramétrico para estimar la calidad del clínker utilizando mapas cognitivos difusos
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[11]	水泥熟料烧成系统建模方法研究进展
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[12]	Online Prediction Method of Cement Clinker f-Cao Based on K-ELM
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[13]	ONLINE MONITORING OF SOFT SENSOR PERFORMANCE: A CASE STUDY OF CEMENT CLINKER QUALITY PARAMETERS SOFT SENSOR
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[1]	Real-time prediction of free lime in cement clinker using support vector machine algorithm 2023 4th International Conference on Big Data Analytics and Practices (IBDAP), 2023 DOI:10.1109/IBDAP58581.2023.10271990

[2]	Advances in statistical quality control chart techniques and their limitations to cement industry Cogent Engineering, 2022 DOI:10.1080/23311916.2022.2088463

[3]	High fidelity clinker quality forecasting and controlling system using machine learning OIL AND GAS ENGINEERING (OGE-2021), 2021 DOI:10.1063/5.0067657

[4]	Online Prediction Method of Cement Clinker f-Cao Based on K-ELM 2018 Chinese Automation Congress (CAC), 2018 DOI:10.1109/CAC.2018.8623778

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