STUDY ON PROPERTY PREDICTION FOR SEALING ALLOYS

Acta Metallurgica Sinica (English Letters) ›› 1996, Vol. 9 ›› Issue (4): 307-309.

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STUDY ON PROPERTY PREDICTION FOR SEALING ALLOYS

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)

Received:1996-08-25 Revised:1996-08-25 Online:1996-08-25 Published:2009-10-10

Abstract

Abstract: 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.

Key words: property prediction, artificial neural network, sealing alloy

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). STUDY ON PROPERTY PREDICTION FOR SEALING ALLOYS[J]. Acta Metallurgica Sinica (English Letters), 1996, 9(4): 307-309.

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STUDY ON PROPERTY PREDICTION FOR SEALING ALLOYS

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