On the basis of an analysis of main factors which affecting crude gasoline end-boiling-point quality model，wavelet transform is used to pre-process the data of FCC production process, the neural network quality model of crude gasoline end-boiling-point in fluid catalytic cracking process is established, and the efficiency and reliability of this model are demonstrated through simulations.