Neural network technologies in control system of melting process in Vanyukov furnace

A. N. Kravchenko; I. N. Beloglazov; E. D. Kadyrov

Vol 169

Pages:

140-143

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Neural network technologies in control system of melting process in Vanyukov furnace

Authors:

A. N. Kravchenko¹

I. N. Beloglazov²

E. D. Kadyrov³

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

Date submitted:

2005-09-22

Date accepted:

2005-10-27

Date published:

2006-12-08

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.

Кравченко А.Н., Белоглазов И.Н., Кадыров Э.Д. Нейросетевые технологии в системе управления процессом плавки в печи Ванюкова // Записки Горного института. 2006. Т. № 4 169. С. 140-143.

Kravchenko A.N., Beloglazov I.N., Kadyrov E.D. Neural network technologies in control system of melting process in Vanyukov furnace // Journal of Mining Institute. 2006. Vol. № 4 169. p. 140-143.

References

Круглов В.В. Искусственные нейронные сети. Теория и практика / В.В.Круглов, В.В.Борисов. М.: Горячая линия-Телеком, 2002; Комашинский В.И. Нейронные сети и их применение в системах управления и связи / В.И.Комашинский, Д.А.Смирнов. М.: Горячая линия-Телеком, 2003.

Neural network technologies in control system of melting process in Vanyukov furnace

Abstract

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