The optimization and prediction of the process diffusion conditions of SrTiO_3 functional ceramics

A prediction model based on BP neural network was set up using former experimental datas. By the electric performance criterion of the ceramics, this model was applied to optimize and predict the process diffusion conditions of SrTiO3 functional ceramics. The outputs of this model agree with the experiment results. It shows that this model is feasible in optimizing and predicting the process diffusion conditions of Sr-TiO3 functional ceramics.