Application of fuzzy neural network in burden surface clustering

Blast furnace charging distribution plays an important role in the steel production. The radar data containing the information of present burden surface situation and the cross thermometer data reflecting the trend of burden surface are taken as the training data of fuzzy neural network. The trained network will be used for the future clustering of the data. Considering the demand of energy-saving and consumption-decreasing, the method sets up the basic for the distribution control in the next step. The simulation results show the effectiveness of the proposed method.