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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/8219
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dc.contributor.authorJain S.K.-
dc.contributor.authorPatnaik, Amalendu-
dc.contributor.authorSinha S.N.-
dc.date.accessioned2020-10-09T05:07:44Z-
dc.date.available2020-10-09T05:07:44Z-
dc.date.issued2013-
dc.identifier.citationInternational Journal of Machine Learning and Cybernetics (2013), 4(3): 189-194-
dc.identifier.issn18688071-
dc.identifier.urihttps://doi.org/10.1007/s13042-012-0084-x-
dc.identifier.urihttp://repository.iitr.ac.in/handle/123456789/8219-
dc.description.abstractMachine learning approaches, viz. particle swarm optimization in conjunction with neural networks have been used to develop a user friendly tool to design custom-made stacked patch antennas in the entire X-Ku band for satellite communication application. The role of the neural network is to develop a black-box model to relate the frequencies of operation of the antenna with its dimensional parameters. This trained neural network was embedded in the loop of a particle swarm optimizer to decide the design dimensions required for specific user defined frequencies. The effectiveness and accuracy of the developed model are verified by simulations and experimental measurements. © 2012 Springer-Verlag.-
dc.language.isoen_US-
dc.relation.ispartofInternational Journal of Machine Learning and Cybernetics-
dc.subjectNeural network-
dc.subjectParticle swarm optimization-
dc.subjectStacked patch antenna-
dc.titleDesign of custom-made stacked patch antennas: A machine learning approach-
dc.typeArticle-
dc.scopusid55461296100-
dc.scopusid7102813204-
dc.scopusid7403739821-
dc.affiliationJain, S.K., Department of Electronics and Computer Engineering, Indian Institute of Technology Roorkee, Roorkee, 247 667, India-
dc.affiliationPatnaik, A., Department of Electronics and Computer Engineering, Indian Institute of Technology Roorkee, Roorkee, 247 667, India-
dc.affiliationSinha, S.N., Department of Electronics and Computer Engineering, Indian Institute of Technology Roorkee, Roorkee, 247 667, India-
dc.description.correspondingauthorPatnaik, A.; Department of Electronics and Computer Engineering, Indian Institute of Technology Roorkee, Roorkee, 247 667, India; email: apatnaik@ieee.org-
Appears in Collections:Journal Publications [ECE]

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