Advance of the metallurgical limestone shaft kilning process control system
Authors:
About authors
- Postgraduate student Saint Petersburg State Mining Institute (Technical University)
Abstract
Today at management system engineering by metallurgical processes used to special methods of the control theory such as optimal, neuro-fuzzy and adaptive methods. First of all, it is connected with increase of problems complexity maintained in control process. In article possibility of application of neural networks is considered at improvement of a control system by process of mine roasting of limestone, are described the neural network scheme controls and the basic stages of its construction.
Область исследования:
Metallurgy
Funding:
None
References
- Vlasov K. Automatic control theory: Tutorial. Kharkov: Humanist centre, 2006. 525 р.
- Krissilov V., Chumichkin K., Kondratuk A. Input data representation in time series neural based forecasting // Bipartite Scientific collected papers/NIFI. Moscow, 2003. Part 1. P.184-191.
- Robust neuro-fuzzy and adaptive control methods: tutorial/Edited by N.Egupov. Moscow: MGTY, 2002. 744 р.
- Haykin S. Neural networks. A Comperehensive Foundation. Moscow: Vil'ams, 2008. 1104 p.
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