English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 57517/91034 (63%)
造访人次 : 13467013      在线人数 : 368
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/987654321/82991

    题名: Image Reconstruction of a Buried Conductor by Modified Particle Swarm Optimization
    作者: Chiu, Chien-Ching;Chen, Chien-Hung;Fan, Yu-Sheng
    贡献者: 淡江大學電機工程學系
    关键词: IMAGE reconstruction;SWARM intelligence;ALGORITHMS;MATHEMATICAL optimization;NONLINEAR theories
    日期: 2012-07
    上传时间: 2013-03-13 02:57:05 (UTC+8)
    出版者: Medknow Publications and Media Pvt. Ltd.
    摘要: In this paper, the shape reconstruction of a perfectly conducting cylinder buried in a half-space by measured transverse magnetic scattered field and the modified particle swarm optimization (MPSO). Assume that a conducting cylinder of unknown shape is buried in one half-space and scatters the field incident from another half-space where the scattered filed is measured. Based on the boundary condition and the measured scattered field, a set of nonlinear integral equations is derived and the imaging problem is reformulated into an optimization problem. The inverse problem is resolved by an optimization approach, and the global searching scheme PSO is then employed to search the parameter space. Two algorithms: the PSO and the MPSO have been examined. Both techniques have been tested in the case of simulated measurements contaminated by additive Gaussian noise. Numerical results demonstrate that even when the initial guess is far away from the exact one, the two algorithms can both obtain good reconstruction and the MPSO outperforms the PSO in convergence speed.
    關聯: IETE Journal of Research 58(4), pp.284-291
    DOI: 10.4103/0377-2063.102307
    显示于类别:[電機工程學系暨研究所] 期刊論文


    档案 描述 大小格式浏览次数
    0974-780X_58(4)p284-291.pdf757KbAdobe PDF185检视/开启



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