Predictive Model of Properties on Hot Dip Galvanized Production by BP Neural Network

A predictive model for mechanical properties of hot dip galvanized strip was established by BP neural network and compared with multi-variant linear regression model.The result shows that the root-mean-square deviation of BP neural network is less than that of multi-variant linear regression model,which proved that the predictive model for mechanical properties of hot dip galvanized strip is feasible and effective.