Neuronet controller design for complex technological processes
About authors
- 1 — Ph.D. assistant lecturer National Mineral Resources University (Mining University)
- 2 — Ph.D. assistant lecturer National Mineral Resources University (Mining University)
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
Funding:
None
References
- Eremenko Ju.I. Automating the management silo plant furnaces metallization using a dynamic expert system // Mechatronics, Automation, Control. 2004. N 4.
- Kruglov VV, Dli MI, Golunov R.Y. Fuzzy logic and artificial neural networks. Moscow, 2001.
- Robust methods, neuro-fuzzy and adaptive control: A Textbook / Ed. N.D.Egupova. Moscow, 2001.
- 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.
- 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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