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

查看全文 作　　者：[1]JuanhuaSU;[2]QimingDONG;[2]PingLIU;[1]HejunLI;[2]BuxiKANG

机构地区：[1]CollegeofMaterialsScienceandEngineering,NorthwesternPolytechnicalUniversity,Xi'an710072,China;[2]CollegeofMaterialsEngineering,HenanUniversityofScienceandTechnology,Luoyang471003,China

出　　处：《Journal of Materials Science & Technology》索引2003年第19卷第6期,共4页

基　　金：This work was supported by the stae“863 plan”,under Grant No.2002AA331112;by the Major Science and Technology Project of Henan Province,China,under Grant No.0122021300. 摘　　要：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. 关键词：CU-CR-ZR合金 LEVENBERG-MARQUARDT算法人工神经网络 ANN 硬度

相关文献

参考文献（11）
引证文献（11）
耦合文献（0）

参考文献(11)

引证文献(11)

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费

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

参考文献(11)

引证文献(11)

用户提示