Property Analysis and Optimization of PZT Ceramic Material Throughan ANN Method

Artificial neural network (ANN) technique was applied to model the PZT based piezoelectric ceramics system. After selecting several dopants, the experimental results of 21 PZT samples were analyzed by a BP network based on the homogenous experimental design. Calculated results indicated that the ANN model was much more accurate than multiple nonlinear regression analysis (MNLR) model for the same set of data. Optimized formulations were also calculated and the optimized (d33 and Kp output values agreed well with predicted values. These results suggest that the ANN based modeling is a very useful tool in dealing with problems with serious non-linearity encountered in the property analysis of the complicated solid solution material.