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

Xu Xueyan; Mu Zhichun; Wang Zhaoxia; Guo Libin(Automation and Information Engineering College, USTB, Beijng 100083, PRC Department of Material Science Engineering)  
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 estimnation are satisfactory.
【Fund】: “863”青年科学基金
【CateGory Index】: TP18
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