Predicting the Productivity of a Cold Rolling Sizing Unit by the RBF Neural Network
用RBF神经网络预报冷轧精整机组的成材率

First in this paper, the goods delivery prediction system of a steel factory is analyzed. Then a model for predicting the productivity of a cold rolling sizing unit is designed through the improved training algorithm of the radial basis function neural network.Results of simulation is very good. Finally in this paper, a method for solving the possible problem is put forward.