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.
|頁（從 - 到）||398-403|
|期刊||International Journal of RF and Microwave Computer-Aided Engineering|
|出版狀態||Published - 2004 9月|
All Science Journal Classification (ASJC) codes