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.
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.
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