This paper introduces a Neural Network (NN) Predictive Control System in an Electric Arc Furnace (EAF). An Embedded System based on Windows CE.NET realizes its electrode adjustor. The solution of the control system is introduced. The NN Predictive Control strategy is depicted, which adopts Extended Delta-Bar-Delta (DBD) algorithm as a learning method of NN models. Hardware and software design of embedded controller are also introduced. It has gotten a good effect in practical running.

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