Jul 9, 2019 · Coal blending is a closed process and complicated process. Therefore, coal blending error is easily affected by unsteady state interference.
Abstract. Due to the continuous improvement of industrial production requirements and green manufacturing demand, manufacturing enterprises and factories ...
Oct 22, 2024 · Establishing the stability of the model to carry out improved accuracy in the coal blending process leads to resolving environmental issues, ...
Optimization of coal blending process control based on fuzzy self-tuning. https://doi.org/10.3233/jifs-179090. Journal: Journal of Intelligent & Fuzzy Systems ...
Optimization of coal blending process control based on fuzzy self ...
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Optimization of coal blending process control based on fuzzy self-tuning · Q. Yin, Jiabing Hu, +2 authors. Guoquan Zhang · Published in Journal of Intelligent… 9 ...
In this paper, we propose a modeling and optimization method based on the characteristics of the coal blending and coking process.
Feb 27, 2023 · Research and optimization of the coal-blending system can greatly improve the variety diversity and quality stability of finished coal.
Missing: tuning. | Show results with:tuning.
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Using adaptive simulated annealing genetic algorithm (ASAGA), coal blending parameters were optimized. Simulation shows that GSAA can obtain better optimization ...
Missing: self- tuning.
Optimization of coal blending process control based on fuzzy self-tuning. 2019, Journal of Intelligent and Fuzzy Systems. View all citing articles on Scopus.
The optimized PID type fuzzy tunes its scaling factors on line. The optimization is done by imperialist competitive algorithm ICA. The simulation results show a ...