Z.N. Xia
,
S.G. Lai
,
Y.Z.Sun and Y.W. Lu(Department of Materials Science and Engineering
,
Tsinghua University
,
Beijing 100084
,
ChinaManuscript received 4 March 1996)
金属学报(英文版)
This paper describes a model of property prediction for alloys using the mapping function and self-learning ability of artificial neural network. By learning from experimental data, the neural network induces the relationship between composition, processing and properties of alloys, and predicts the properties with given composition and processing parameters of new alloys.The verification of sealing alloys demonstrates that the artificial neural network is an effective method for materials design and properties prediction.
关键词:
:property prediction
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