Abstract
Coal moisture control process is a critical process in energy saving for pollution reduction and improving production efficiency and the quality of coke. The RBF artificial neural network approach for modeling is used to achieve precise control of coal moisture control system and against their strong coupling nonlinear systems with time-delay characteristics. The bionic BFO (Bacterial Foraging Optimization) is used to the fitness to optimize the RBF Neural network parameters. In order to achieve better results the RBF Neural network performance is optimized by these bionic BFO. This method provides a theoretical basis for accurate control of coal moisture process. The reduction of energy and pollution with improving the quality of coke is established.
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References
Ergun G, Somer TG, Kisakurek B (1984) Analysis Of Drying Rate Mechanism In Complex Solids[J]. Soc. Chem. Eng. 4:127–132
Jianjun G, Yuhua G, Hemin Z, Haifeng W (2012) Modeling and Calculation of parameters of coal moisture[J]. Fuels Chem. 43:1–7
Passino KM (2002) Biomimicry of bacterial foraging for distributed optimization and control[J]. IEEE Control Syst. Mag. 22:52–67
Dasgupta S, Biswa A, Abraham A et al (2009) Adaptive computational chemotaxis in bacterial foraging optimization: an analysis[J]. IEEE Trans. Evol. Comput. 13:919–941
Jie H (2012) Study on improvement and application of BFO algorism. [D] Wuhan University of Science and Technology, Wuhan
Acknowledgment
This work is partially supported by Shanghai key scientific research project No.11510502700, and science and technology innovation focus of SHMEC No.12ZZ189.
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Li, X., Sun, H., Yu, Y. (2016). Modeling and Optimization of Coal Moisture Control System Based on BFO. In: Jia, Y., Du, J., Li, H., Zhang, W. (eds) Proceedings of the 2015 Chinese Intelligent Systems Conference. Lecture Notes in Electrical Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48365-7_7
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DOI: https://doi.org/10.1007/978-3-662-48365-7_7
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