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Neural-network-based models of 3-D objects for virtualized reality: a comparative study

โœ Scribed by Cretu, A.-M.; Petriu, E.M.; Patry, G.G.

Book ID
114630070
Publisher
IEEE
Year
2006
Tongue
English
Weight
862 KB
Volume
55
Category
Article
ISSN
0018-9456

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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