Application of Analysis and Simulation of Materials Based on PCA-NN

摘要：

How to control the mechanical properties of materials is difficult in actual production.In this paper,Neural Network(NN)and Principal Component Analysis(PCA)have been adopted to simulate and control mechanical properties of CA6NM(called ZG06Cr13Ni4Mo corresponds to Chinese steel code).An optimized NN has been built to analyze and design a kind of material according to its components.This paper proposes to integrate NN and PCA(called PCANN)to properly simulate and control materials’ quality.Finally,it is concluded that PCA-NN is satisfied in material design.

作者: Liu Gang Peng Minhong

作者单位: School of Electronic Information,Wuhan University School of Materials Science and Engineering,Wuhan University of Technology

会议类型: 国际会议

会议名称: 第一届智能网络与智能系统国际会议(ICINIS 2008)(The First International Conference on Intelligent Networks and Intelligent Systems)

会议地点: 武汉

会议语种:英文

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）