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Temperature Control of Electric Furnace using Neural Network

In this paper, back-propagation neural network is used to implement a controller for electric furnace. Although the dynamics of furnace is nonlinear and time-delayed and depends on the environment, the time constant is relatively large so that manual control based on human expert can have good performance. The input-output data of the manual controller are collooted and used as training data for neurocontroller. From simulation. we find that the neurocontroller has better performances than the conventional controller.