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

โœ Scribed by Kun-Chou Lee

Publisher
John Wiley and Sons
Year
2004
Tongue
English
Weight
97 KB
Volume
14
Category
Article
ISSN
1096-4290

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โœฆ Synopsis

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.

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