Application of Neural Network to the Process of Functionally Gradient Materials Fabrication

Xu Xueyan; Mu Zhichun; Wang Chaoxia; Guo Libin

doi:10.13374/j.issn1001-053x.1994.05.013

Volume 16 Issue 5

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Article Navigation > Chinese Journal of Engineering > 1994 > 16(5): 464-468

Xu Xueyan, Mu Zhichun, Wang Chaoxia, Guo Libin. Application of Neural Network to the Process of Functionally Gradient Materials Fabrication[J]. Chinese Journal of Engineering, 1994, 16(5): 464-468. doi: 10.13374/j.issn1001-053x.1994.05.013

Citation:

Xu Xueyan, Mu Zhichun, Wang Chaoxia, Guo Libin. Application of Neural Network to the Process of Functionally Gradient Materials Fabrication[J]. Chinese Journal of Engineering, 1994, 16(5): 464-468. doi: 10.13374/j.issn1001-053x.1994.05.013

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Application of Neural Network to the Process of Functionally Gradient Materials Fabrication

doi: 10.13374/j.issn1001-053x.1994.05.013

1. Automation and Information Engineering College, USTB, Beijng 100083, PRC;
2. Department of Material Science Engineering

Received Date: 1994-02-23
Available Online: 2021-11-13

Abstract

Abstract

Taking account of complecities of the Functionally Gradient Materials (FGM) fabrication process, a neural network based expert system which estimates the properities of the material is presented. The experimental results show that this method is effective. To improve the learning speed of the system and reduce the possibility of local minimum, a functional-linked net is introduced. The application indicates that both learning speed and accuracy of the estimation are satisfactory.
- neural networks/functionally gradient materials,
- BP algorithm,
- functional linked net