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

Kun-Chou Lee

doi:10.1002/mmce.20026

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

Kun-Chou Lee

Department of Systems and Naval Mechatronic Engineering

Research output: Contribution to journal › Article

15 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	398-403
Number of pages	6
Journal	International Journal of RF and Microwave Computer-Aided Engineering
Volume	14
Issue number	5
DOIs	https://doi.org/10.1002/mmce.20026
Publication status	Published - 2004 Sep 1

All Science Journal Classification (ASJC) codes

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

Access to Document

10.1002/mmce.20026

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