关键词: 轧钢生产过程, 产品质量建模, 遗传算法, 小波神经网络

Abstract: Aiming at the quality production process of Hot Rolling Mill products of a rolling mill，the crossover and mutation operations of GA get improved，then a products quality modeling method based on the WNN optimized by IGA is presented.Simulation results show that the quality modeling method not only maintains the features of global searching ability of GA and the simplicity and effectiveness of WNN learning algorithm，but also has the advantages of the fast network training speed and the high modeling precision，and then the effectiveness of the proposed method is indicated.

Key words: steel rolling production process, products quality modeling, Genetic Algorithm（GA）, Wavelet Neural Network（WNN）