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Volume 16 Issue 5
Nov.  2021
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Article Contents
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

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

doi: 10.13374/j.issn1001-053x.1994.05.013
  • Received Date: 1994-02-23
    Available Online: 2021-11-13
  • 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.

     

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      沈陽化工大學材料科學與工程學院 沈陽 110142

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