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Establishing the knowledge repository of rapidly solidified aging Cu-Cr-Zr alloy on the artificial neural-network
作者姓名:SUJuanhua  DONGQiming  LIUPing  LIHejun  KANGBuxi  TIANBaohong
作者单位:[1]CollegeofMaterialsScienceandEngineering,NorthwesternPolytechnicalUniversity,Xi'an710072,China [2]CollegeofMaterialsScienceandEngineering,HenanUniversityofScienceandTechnology,Luoyang471003,China [3]CollegeofMaterialsScienceandEngineering,NorthwesternPolytechnicalUniversity,Xi'an710072,China
基金项目:国家高技术研究发展计划(863计划)
摘    要:The non-linear relationship between parameters of rapidly solidified aging processes and mechancal and electrical properties of Cu-Cr-Zr alloy is available by using a supervised artificial neural network (ANN). A knowledge repository of rapidly solidified aging processes is established via sufficient data learning by the network. The predicted values of the neural network are in accordance with the tested data. So an effective measure for foreseeing and controlling the properties of the processing is provided.

关 键 词:铜铬锆合金  快速凝固老化  知识库  人工神经网络

Establishing the knowledge repository of rapidly solidified aging Cu-Cr-Zr alloy on the artificial neural-network
SUJuanhua DONGQiming LIUPing LIHejun KANGBuxi TIANBaohong.Establishing the knowledge repository of rapidly solidified aging Cu-Cr-Zr alloy on the artificial neural-network[J].Rare Metals,2004,23(2):171-175.
Authors:SU Juanhua  DONG Qiming  LIU Ping  Li Hejun  KANG Buxi  Tian Baohong
Abstract:The non-linear relationship between parameters of rapidly solidified aging processes and mechancal and electrical properties of Cu-Cr-Zr alloy is available by using a supervised artificial neural network (ANN). A knowledge repository of rapidly solidified aging processes is established via sufficient data learning by the network. The predicted values of the neural network are in accordance with the tested data. So an effective measure for foreseeing and controlling the properties of the processing is provided.
Keywords:Cu-Cr-Zr alloy  knowledge repository  artificial neural network  rapid solidifiation aging
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