Classification of High Quality Carbon Steel Based on BP Neural Network

被引：1

作者：

Liu, Lanlan ^{[1
]}

Zhang, Taohong ^{[1
]}

Xie, Yonghong ^{[1
]}

Li, Li ^{[1
]}

Zhang, Dezheng ^{[1
]}

Wulamu, Aziguli ^{[1
]}

机构：

[1] Univ Sci & Technol Beijing, Sch Comp & Commun Engn, Beijing 100083, Peoples R China

来源：

EIGHTH CHINA NATIONAL CONFERENCE ON FUNCTIONAL MATERIALS AND APPLICATIONS | 2014年 / 873卷

关键词：

High quality carbon steel; Neural network; Simulation; Data process;

D O I：

10.4028/www.scientific.net/AMR.873.54

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Now carbon steel is used in the engineering aspects and it is the oldest and the largest amount of basic materials. How to determine whether they are high-quality carbon steel? In this paper the standard data of high quality carbon steel by using the classical BP neural network algorithm is researched. Then it is simulated and predicted. The final comprehensive evaluation and analysis show that the neural network model can be used to decide whether it is a high quality carbon steel. Further, it has a good practical application value for utilizing high-quality carbon steel rationally.

引用

页码：54 / 59

页数：6

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