Application of Artificial Neural Network to Predicting Hardenability of Gear Steel

التفاصيل البيبلوغرافية
العنوان: Application of Artificial Neural Network to Predicting Hardenability of Gear Steel
المؤلفون: Gao, Xiu-hua, Qi, Ke-min, Deng, Tian-yong, Qiu, Chun-lin, Zhou, Ping, Du, Xian-bin
المصدر: Journal of Iron and Steel Research International; June 2006, Vol. 13 Issue: 6 p71-73, 3p
مستخلص: The prediction of the hardenability and chemical composition of gear steel was studied using artificial neural networks. A software was used to quantitatively forecast the hardenability by its chemical composition or the chemical composition by its hardenability. The prediction result is more precise than that obtained from the traditional method based on the simple mathematical regression model.
قاعدة البيانات: Supplemental Index
الوصف
تدمد:1006706X
22103988
DOI:10.1016/S1006-706X(06)60114-3