Prediction of Properties in Thermomechanically Treated Cu-Cr-Zr Alloy by an Artificial Neural Network

材料科学技术（英文）, 2003, 19(6): 529-532.

^1, , ^2, , ^3, , ^4, , ^5,

1.College of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an 710072, China;College of Materials Engineering, Henan University of Science and Technology, Luoyang 471003, China

2.College of Materials Engineering, Henan University of Science and Technology, Luoyang 471003, China

3.College of Materials Engineering, Henan University of Science and Technology, Luoyang 471003, China

4.College of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an 710072, China

5.College of Materials Engineering, Henan University of Science and Technology, Luoyang 471003, China

基金项目: 国家科技攻关项目(2002AA331112) Major Science and Technology Project of Henan Province, China(0122021300)

Prediction of Properties in Thermomechanically Treated Cu-Cr-Zr Alloy by an Artificial Neural Network

Keywords： Cu-Cr-Zr alloy

A supervised artificial neural network (ANN) to model the nonlinear relationship between parameters of thermomechanical treatment processes with respect to hardness and conductivity properties was proposed for Cu-Cr-Zr alloy. The improved model was developed by the Levenberg-Marquardt training algorithm. A basic repository on the domain knowledge of thermomechanical treatment processes is established via sufficient data acquisition by the network. The results showed that the ANN system is an effective way and can be successfully used to predict and analyze the properties of Cu-Cr-Zr alloy.

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材料期刊网

Prediction of Properties in Thermomechanically Treated Cu-Cr-Zr Alloy by an Artificial Neural Network

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