A discrete and asynchronous implementation of Vidyasagar´s mean-field neural net is applied to the identification of faulty elements in large antenna arrays from remote field intensity measurements. Extensive numerical experiments show that the algorithm is reliable, robust, and faster than standard (conjugate gradient) methods.
A Discrete Mean Field Neural Network for Antenna Array Diagnostics
Pierro V;Pinto I. M.
1999-01-01
Abstract
A discrete and asynchronous implementation of Vidyasagar´s mean-field neural net is applied to the identification of faulty elements in large antenna arrays from remote field intensity measurements. Extensive numerical experiments show that the algorithm is reliable, robust, and faster than standard (conjugate gradient) methods.File in questo prodotto:
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