Application of artificial neural network (ANN) technique to the formulation design of BaTiO3 dielectric ceramics

Application of the artificial neural network (ANN) to the formulation design of BaTiO3 based dielectrics was carried through for the first time. Based on the homogenous experimental design, the experimental results of 21 samples were analyzed by a three-layered BP network model. The results were also expressed by intuitionistic graphics. In addition, optimized formulations were calculated and the optimized epsilon(25) output values were in accordance with experiments. The three-layer BP network proved to be a very useful tool in dealing with problems with serious non-linearity encountered in the formulation design of dielectric ceramics.