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 | |
| Publication status | Published - 2004 Sep |
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Computer Graphics and Computer-Aided Design
- Electrical and Electronic Engineering