Bandwidth analysis and optimization of ð§ shaped microstrip patch antenna with artificial neural network /

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dc.campusChennai
dc.contributor.authorChakraborty, Samik
dc.date.accessioned2025-03-17T09:01:12Z
dc.date.accessioned2025-03-31T17:00:07Z
dc.date.available2025-03-17T09:01:12Z
dc.date.issued2017-09-02
dc.description.abstractIn this paper an artificial neural network optimization technique and models is used for analysis the bandwidth of Microstrip antenna. The Ч shaped Microstrip patch antenna designed and use operating frequency 6.83 GHz to analysis the bandwidth of antenna. Artificial neural network models used and varying the different parameters of Microstrip antenna to measure the bandwidth and its results is compared with artificial neural network results. The most common dielectric substrate Polyethylene =2.25. ANN is vey suited for analysis the proposed antenna and gives more easy calculation and design of microstrip patch antenna.
dc.identifier.urihttps://dspacenew8-imu.refread.com/handle/123456789/2484
dc.language.isoen
dc.publisherInnovative Space of Scientific Research Journals
dc.schoolSchool of Marine Engineering and Technology
dc.subjectMicrostrip Slot antenna
dc.subjectSimulation
dc.subjectReturn loss
dc.subjectBandwidth
dc.subjectArtificial neural network
dc.titleBandwidth analysis and optimization of ð§ shaped microstrip patch antenna with artificial neural network /
dc.typeArticle

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