2015 : Modeling and Simulation of Resistance Electric Arc Furnace Based on Actual Recorded Data using Artificial Neural Network

Prof. Dr. Ir. Soeprijanto M.Sc.


Network (ANN) model of electric arc furnace. ANN has a multilayer feed forward network structure and is trained using a back propagation learning rule. The ANN model is used to predict the arc impedance of EAF. The data for training of ANN model uses the measurement data using power quality analysis at side secondary of transformer furnace. Simulation results show that the proposed method is very effective for modeling of electric arc furnace. The performance of best validation reached at epoch 58 and the error is 0.0011961