Study of predicting properties for aged Cu-Ni-Si-Cr alloy based on artificial neural network

Cailiao Rechuli Xuebao/Transactions of Materials and Heat Treatment

Volumn 26, Issue 1, 2005, Pages 86-89

  Liu, Ping ^a   Lei, Jing Guo ^a,b   Jing, Xiao Tian ^b   Tian, Bao Hong ^a  

^a HENAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b XI'AN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Aging; Cu Ni Si Cr alloy; L M algorithm; Neural network

Indexed keywords

AGING OF MATERIALS; ALGORITHMS; ELECTRIC CONDUCTIVITY; FORECASTING; MICROHARDNESS; NEURAL NETWORKS;

AGING TEMPERATURE; ARTIFICIAL NEURAL NETWORK; CU-NI-SI-CR ALLOY; DEFORMATION DEGREE; HIGH STRENGTH HIGH CONDUCTIVITY COPPER ALLOY; LEVENBERG-MARQUARDT ALGORITHM; PREDICTION;

COPPER ALLOYS;

EID: 15044360033     PISSN: 10096264     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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