Classification of High Quality Carbon Steel Based on BP Neural Network

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.

关键词： High quality carbon steel Neural network Simulation Data process

作者: Lanlan Liu Taohong Zhang Yonghong Xie Li Li Dezheng Zhang Aziguli Wulamu

作者单位: School of Computer and Communication Engineering, University of Science and Technology Beijing(USTB), Beijing, 100083, China; Beijing Key Laboratory of Knowledge Engineering for materials Science, Beijing, 100083, China

会议类型: 国际会议

会议名称: The Eighth China National Conference on Functional Materials and Applications(第八届中国功能材料及其应用学术会议)

会议地点: 哈尔滨

会议语种:英文

页码: 54-59

在线出版日期: 2013-08-23（万方平台首次上网日期，不代表论文的发表时间）