Application of Artificial Neural Network to Predicting Hardenability of Gear Steel

被引：0

作者：

GAO Xiu-hua~1

2. Technical Center

机构：

来源：

Journal of Iron and Steel Research(International) | 2006年 / 06期

关键词：

artificial neural network (ANN); gear steel; hardenability; 20CrMnTiH;

D O I：

10.13228/j.boyuan.issn1006-706x.2006.06.014

中图分类号：

TG156.3 [淬火、表面淬火];

学科分类号：

080201 ; 080503 ;

摘要：

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.

引用

页码：71 / 73

页数：3