Neural Network Approach to the Flaw Identification in a Conductive Plate with Finite Element Modeling

摘要：

In this paper,we examine the capability of the neural network approach to the defect identification and the electrical impedance imaging.It is shown the approach is suitable for detecting the defects and their positions in a conductive field system.

关键词： Neural Network Approach Flow Identification Finite Element Modeling

作者: Yuan xi Zhao Lingyun Chai Yukio Kagawa

作者单位: Electronics and Information System Department,Akita Prefectural University Honjo,Akita 015-0055 Japa Graduate School of Engineering,Nuclear Power & Energy Safety Engineering Course University of Fukui Department of Electrical and Electronic Engineering,College of Industrial Technology Nihon Universit

会议类型: 国际会议

会议名称: Asia Simulation Conference 2008/the 7th International Conference on System Simulation and Scientific Computing(2008亚洲仿真会议/第七届系统仿真和科学计算国际会议)(ICSC2008)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-10（万方平台首次上网日期，不代表论文的发表时间）