A neural-network-based model for 2D microwave imaging of cylinders

研究成果: Article同行評審

15 引文 斯高帕斯(Scopus)

摘要

In this article, a neural network with radial-basis functions (RBF-NN) is applied to microwave imaging of cylinders. Initially, the shape function of the target cylinder is expanded by a Fourier series. The RBF-NN is trained by some direct-scattering data sets and thus can predict the images of the target cylinders.

原文English
頁(從 - 到)398-403
頁數6
期刊International Journal of RF and Microwave Computer-Aided Engineering
14
發行號5
DOIs
出版狀態Published - 2004 九月 1

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering

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