Abstract
Development of computational intelligence allows to combine some conventional approaches with artificial intelligence modules, like Artificial Neural Networks (ANNs). The combination leads to so-called Intelligent Systems which potential is practically unlimited. ANNs based models for electrodes positioning, prediction of the electric energy consumption and end-of-heat in electric arc furnaces were implemented by number of authors and they have obtained applicable practical results. The present paper describes methods of intelligent control of the EAF steelmaking process, particularly neural control. The elaborated neural network models for smelting control in the EAF are discussed. The goal is to provide a compact review of neural modeling and control methods and their capabilities for the EAF steelmaking process.