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Vol 202
Pages:
254-256
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RUS
Article

Neuronet controller design for complex technological processes

Authors:
N. I. Koteleva1
N. V. Vasileva2
About authors
  • 1 — Ph.D. assistant lecturer National Mineral Resources University (Mining University)
  • 2 — Ph.D. assistant lecturer National Mineral Resources University (Mining University)
Date submitted:
2012-09-28
Date accepted:
2012-11-25
Date published:
2013-04-29

Abstract

The block diagram of the neural network controller design for complex technological processes is described. Shows the principle of its operation.

Область исследования:
(Archived) Without section
Keywords:
neural network neural network controller method of process control
Go to volume 202

References

  1. Eremenko Ju.I. Automating the management silo plant furnaces metallization using a dynamic expert system // Mechatronics, Automation, Control. 2004. N 4.
  2. Kruglov VV, Dli MI, Golunov R.Y. Fuzzy logic and artificial neural networks. Moscow, 2001.
  3. Robust methods, neuro-fuzzy and adaptive control: A Textbook / Ed. N.D.Egupova. Moscow, 2001.
  4. Pat. 2266558 RF. Intelligent controller with a neural network and the rules of self-modification. Cl. G06F9/00, G05B13/02 / V.I.Cluchko, E.A.Shumkov, V.P.Stalkevich. Stat.31.12.2003. Publ.20.12.2005.
  5. Pat.2359308 RF. Neural network controller to control the ship's course. Cl. G05D1/02 / N.A.Sedova, S.V.Clushkova. Stat.29.11.2007. Publ.27.03.2008.

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