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Vol 186
Pages:
181-184
Download volume:
RUS
Article

Advance of the metallurgical limestone shaft kilning process control system

Authors:
N. I. Koteleva
About authors
  • Postgraduate student Saint Petersburg State Mining Institute (Technical University)
Date submitted:
2009-08-01
Date accepted:
2009-10-08
Date published:
2010-02-01

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
Keywords:
shaft kiln control system neural network
Go to volume 186

References

  1. Vlasov K. Automatic control theory: Tutorial. Kharkov: Humanist centre, 2006. 525 р.
  2. 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.
  3. Robust neuro-fuzzy and adaptive control methods: tutorial/Edited by N.Egupov. Moscow: MGTY, 2002. 744 р.
  4. Haykin S. Neural networks. A Comperehensive Foundation. Moscow: Vil'ams, 2008. 1104 p.

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