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Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/1681
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dc.contributor.authorVakula, D.-
dc.contributor.authorSarma, N. V. S. N.-
dc.date.accessioned2024-11-22T05:54:17Z-
dc.date.available2024-11-22T05:54:17Z-
dc.date.issued2009-
dc.identifier.citation10.2528/PIERM09011204en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/1681-
dc.descriptionNITWen_US
dc.description.abstractA systematic method for the diagnosis of planar antenna arrays from far field radiation pattern using neural networks is presented. Two types of neural networks, Radial basis function (RBF) and Probabilistic neural network (PNN) are considered for the performance comparison. Deviation pattern is used as input to the neural network to determine the location of the faulty element and error in excitation.en_US
dc.language.isoenen_US
dc.publisherProgress In Electromagnetics Research Men_US
dc.subjectFAULTen_US
dc.subjectPLANARen_US
dc.titleFAULT DIAGNOSIS OF PLANAR ANTENNA ARRAYS USING NEURAL NETWORKSen_US
dc.typeArticleen_US
Appears in Collections:Electronics and Communications Engineering

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