Abstract
In this paper, the structure and function of the IDSS in the operation process of electric furnace for cleaning slag are presented and the fuzzy neural network decision model (FNNDM) in the IDSS is specially suggested. The IDSS possesses self-learning and adaptive properties, and has been used for managing and analyzing the optimal operational conditions since June 1992. Electric energy consumption has been reduced remarkably and the coefficient of recovery of cobalt and nickel has been increased.
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References
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Synopsis of the first author: Peng Xiaoqi, associated professor, born in 1962, majoring research interests: modelling, optimal control and intelligent decision support system in technological process.
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Peng, X., Mei, C. & Zhou, J. An intelligent decision support system (IDSS) in the operation process of electric furnace for cleaning slag. J. Cent. South Univ. Technol. 3, 177–180 (1996). https://doi.org/10.1007/BF02652200
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DOI: https://doi.org/10.1007/BF02652200