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
Similar articles
Nitric-acid leaching of copper-electrolyte sludge
2006 A. M. Belenkii, G. V. Petrov, A. Ya. Boduen, A. S. Kukolevskii
Conditions of blast feeding into melts and development of means of intensification of blast mode
2006 L. M. Shalygin, G. V. Konovalov, T. R. Kosovtseva
Improvement of designs of devices for combustion of natural gases of different composition
2006 P. V. Ivanov, Yu. V. Sharikov
Study of distribution of time of stay of firing products in fluidized bed furnace
2006 I. I. Beloglazov, Yu. V. Sharikov, I. N. Beloglazov