A neural‐network approach to the electromagnetic imaging of elliptic conducting cylinders Academic Article uri icon

abstract

  • A neural-network approach is presented for the electro-magnetic imaging of conducting cylinders of elliptical cross section. Simulation results are presented which demonstrate that a properly trained neural network is capable of accurately identifying the shape and location of unknown elliptic cylinders in inaccessible domains.

author list (cited authors)

  • Mydur, R., & Michalski, K. A.

citation count

  • 25

publication date

  • March 2001

publisher