Abstract: Microcrystalline wax was oxidized by using air without catalysts. The acid number(AN) and the ester number(EN) of oxidized wax were correlated with the reaction conditions using artificial neural network(ANN), and the ANN model of microcrystalline wax oxidation was established. Moreover, the effects of reacting conditions on the process of microcrystalline wax oxidation were predicted by using this model. The results show that the proposed model can simulate the experimental data and predict the process of microcrystalline wax oxidation very well.