Application of Artificial Neural Network (ANN) Technique to the Formulation Design of BaTiO3 Dielectric Ceramics

Journal of Inorganic Materials

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Application of Artificial Neural Network (ANN) Technique to the Formulation Design of BaTiO₃ Dielectric Ceramics

GUO Dong¹; WANG Yong-Li¹; XIA Jun-Tao²; LI Long-Tu¹; GUI Zhi-Lun¹

1. Dept. Materials Science & Engineering; Tsinghua University; Beijing 100084; China; 2. School of Chemical Engineering and Materials Science; Beijing Institute of Technology; Beijing 100081, China

Received:2001-06-29 Revised:2001-07-25 Published:2002-07-20 Online:2002-07-20

Abstract

Abstract: 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 ε₂₅ 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.

Key words: BaTiO₃, dielectric constant, artificial neural network, BP algorithm

CLC Number:

TP18

GUO Dong,WANG Yong-Li,XIA Jun-Tao,LI Long-Tu,GUI Zhi-Lun. Application of Artificial Neural Network (ANN) Technique to the Formulation Design of BaTiO₃ Dielectric Ceramics[J]. Journal of Inorganic Materials.

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Application of Artificial Neural Network (ANN) Technique to the Formulation Design of BaTiO₃ Dielectric Ceramics

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