摘要
Thenon-linearrelationshipbetweenparametersofrapidlysolidifiedagingprocessesandmechancalandelectricalpropertiesofCu-Cr-Zralloyisavailablebyusingasupervisedartificialneuralnetwork(ANN).Aknowledgerepositoryofrapidlysolidifiedagingprocessesisestablishedviasufficientdatalearningbythenetwork.Thepredictedvaluesoftheneuralnetworkareinaccordancewiththetesteddata.Soaneffectivemeasureforforeseeingandcontrollingthepropertiesoftheprocessingisprovided.
出版日期
2004年02月12日（中国期刊网平台首次上网日期，不代表论文的发表时间）
