Detail publikace

New Numerical Technique for Non-destructive Testing of the Conductive Materials

Originální název

New Numerical Technique for Non-destructive Testing of the Conductive Materials

Anglický název

New Numerical Technique for Non-destructive Testing of the Conductive Materials

Jazyk

en

Originální abstrakt

The image reconstruction is an ill-posed inverse problem of finding such internal impedivity distribution that minimizes certain optimization criteria. The optimization necessitates algorithms that impose regularization and some prior information constraint. The regularization techniques vary in their complexity. This paper proposes new variants of the regularization techniques to be used for the acquirement of more accurate reconstruction results and the possibility of the applying differential evolution algorithms in an optimization process.

Anglický abstrakt

The image reconstruction is an ill-posed inverse problem of finding such internal impedivity distribution that minimizes certain optimization criteria. The optimization necessitates algorithms that impose regularization and some prior information constraint. The regularization techniques vary in their complexity. This paper proposes new variants of the regularization techniques to be used for the acquirement of more accurate reconstruction results and the possibility of the applying differential evolution algorithms in an optimization process.

BibTex


@inproceedings{BUT22577,
  author="Tibor {Bachorec} and Tomáš {Jirků} and Jarmila {Dědková}",
  title="New Numerical Technique for Non-destructive Testing of the Conductive Materials",
  annote="The image reconstruction is an ill-posed inverse problem of finding such internal impedivity distribution that minimizes certain optimization criteria. The optimization necessitates algorithms that impose regularization and some prior information constraint. The regularization techniques vary in their complexity. This paper proposes new variants of the regularization techniques to be used for the acquirement of more accurate reconstruction results and the possibility of the applying differential evolution algorithms in an optimization process.",
  address="The Electromagnetics Academy,Cambridge",
  booktitle="Progress In Electromagnetics Research Symposium",
  chapter="22577",
  institution="The Electromagnetics Academy,Cambridge",
  year="2007",
  month="march",
  pages="976",
  publisher="The Electromagnetics Academy,Cambridge",
  type="conference paper"
}