Please use this identifier to cite or link to this item:
http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/9541
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Singhal, Rahul | - |
dc.date.accessioned | 2023-03-07T04:37:34Z | - |
dc.date.available | 2023-03-07T04:37:34Z | - |
dc.date.issued | 2021-10 | - |
dc.identifier.uri | https://link.springer.com/article/10.1007/s11277-021-09220-6 | - |
dc.identifier.uri | http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9541 | - |
dc.description.abstract | In this paper, a flexible and a modular approach to design complementary split-ring resonator (CSRR) metamaterials is presented which is further applied for a planar antenna miniaturization. The design task is treated as an optimization problem and one of the well-known computational techniques, particle swarm optimization (PSO) is employed to identify the design dimensions of planar CSRR structure followed by a C-band antenna miniaturization. Two trained neural networks (NNs) make use of machine learning (ML) approach to reduce the design time. The proposed procedure is easy to implement and can be further employed to design similar or other distinct metamaterial structures. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.subject | EEE | en_US |
dc.subject | Complementary split-ring resonator (CSRR) | en_US |
dc.subject | Particle swarm optimization (PSO) | en_US |
dc.subject | Machine learning (ML) | en_US |
dc.title | Parametric Optimization of Complementary Split-Ring Resonator Dimensions for Planar Antenna Size Miniaturization | en_US |
dc.type | Article | en_US |
Appears in Collections: | Department of Electrical and Electronics Engineering |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.