Please use this identifier to cite or link to this item:
http://localhost:8080/xmlui/handle/123456789/1760Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Vakula, D. | - |
| dc.contributor.author | Sarma, N. V. S. N. | - |
| dc.date.accessioned | 2024-11-26T04:39:00Z | - |
| dc.date.available | 2024-11-26T04:39:00Z | - |
| dc.date.issued | 2010 | - |
| dc.identifier.citation | 10.2528/PIERL10030401 | en_US |
| dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/1760 | - |
| dc.description | NITW | en_US |
| dc.description.abstract | A method to diagnose on-off faults in a planar antenna arrays using far field radiation pattern is presented. A systematic approach is suggested for detecting location of faulty elements using Artificial Neural Networks (ANN). Radial Basis Function neural network (RBF) and Probabilistic neural network (PNN) are considered for performance comparison. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Progress In Electromagnetics Research Letters | en_US |
| dc.subject | NEURAL | en_US |
| dc.subject | DETECTION | en_US |
| dc.title | USING NEURAL NETWORKS FOR FAULT DETECTION IN PLANAR ANTENNA ARRAYS | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Electronics and Communications Engineering | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 10030401.pdf | 347.49 kB | Adobe PDF | View/Open |
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