English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 55242/89549 (62%)
造访人次 : 10730955      在线人数 : 37
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/60871


    题名: Image and conductivity reconstruction of a variable conducting cylinder in a half-space
    作者: Chien, Wei;Chiu, Chien-ching;李慶烈;Li, Ching-lieh
    日期: 2005-05
    上传时间: 2011-10-15 01:00:49 (UTC+8)
    出版者: Amsterdam: IOS Press
    摘要: In this paper we address an inverse scattering problem whose aim is to determine the geometrical and the physical properties of a variable conducting cylindrical body buried in a half-space. The variable conductivity boundary leads to a mathematically ill-posed nonlinear equation. To overcome this difficulty, the attained system of nonlinear integral equations is reformulated into an optimization problem and solved by using the genetic algorithm. The genetic algorithm is employed to search the global extreme of the object function, such that the shape and the variable conductivity of the scatterer can be reconstructed. Even when the initial guess is far away from the exact one, the genetic algorithm can avoid the local extreme and attain to a global extreme solution sucessfully. In such a case, the gradient-based methods often get stuck in a local extreme. It is found that multiple incident waves from different directions permit good reconstruction of the shape and, to a lesser extent, the conductivity in the presence of noise for the measured data. Numerical results are given to show the effectiveness of the genetic algorithm.
    關聯: International Journal of Applied Electromagnetics and Mechanics 21(2), pp.51-62
    显示于类别:[電機工程學系暨研究所] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    1383-5416_21(2)p51-62.pdf191KbAdobe PDF255检视/开启
    index.html0KbHTML199检视/开启

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈