Neural network technologies in control system of melting process in Vanyukov furnace
About authors
- 1 — G.V. Plekhanov Saint Petersburg Mining Institute
- 2 — G.V. Plekhanov Saint Petersburg Mining Institute
- 3 — G.V. Plekhanov Saint Petersburg Mining Institute
Abstract
The article describes the possibilities of application of neural network technologies in the control system of the melting process in the furnace. The variants of using neural networks both in local control loops and in the control system of the whole process are shown. Advantages and disadvantages of such systems are considered. The example of creation of the simplest neural network regulator for stabilization of parameters is given.
Область исследования:
(Archived) Without section
Funding:
None
Similar articles
Estimation of error of information channels of control systems
2006 A. N. Kravchenko, I. N. Beloglazov, E. D. Kadyrov
Preparation of zirconium-containing materials on the basis of eudialyte concentrate
2006 S. V. Aleksandrovskii, D. E. Chirkst, T. E. Litvinova, M. B. Geilikman, I. M. Gaidamako, A. R. Erdanov
Logometric method of analyzing the composition of suspensions
2006 D. S. Kireev, I. N. Beloglazov, S.Z. El-Salim
Application of interval-simplex method for description of chemical reactions kinetics
2006 I. N. Beloglazov, O. V. Ziyazitdinova, D. S. Kireev