NOx Concentration Prediction With a Flexible Cascaded Echo-State Network in a Cement Clinker Calcination System
Author:
Affiliation:
1. School of Mathematics Sciences, University of Jinan, Jinan, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/9424/10582275/10507062.pdf?arnumber=10507062
Reference28 articles.
1. Hybrid model of a cement rotary kiln using an improved attention-based recurrent neural network
2. Experimental study and CFD modeling of NOx reduction and reductive gas formation in deep reburning of cement precalciner
3. Rotary kiln process: An overview of physical mechanisms, models and applications
4. Combustion Condition Recognition of Coal-Fired Kiln Based on Chaotic Characteristics Analysis of Flame Video
5. Spatio-Temporal Graph Attention Network for Sintering Temperature Long-Range Forecasting in Rotary Kilns
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