2019 6th International Conference on Signal Processing and Integrated Networks (SPIN) 2019
DOI: 10.1109/spin.2019.8711756
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Design of Microstrip Patch Antenna & Its Analysis Through ANN for Terahertz Application

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Cited by 4 publications
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“…The shape and size of the antenna can be optimized which can further optimize its parameters such as gain, directivity and efficiency. A dataset was created containing input parameters as resonant frequency of the antenna (f ), dielectric constant of the substrate in which the patch is etched (ε) and height of the dielectric substrate (h) and output parameters as dimensions of the patch, i.e., length of the patch (l) and width of the patch (w) which can be calculated [12]. Artificial neural network (ANN) is used for optimization.…”
Section: Introductionmentioning
confidence: 99%
“…The shape and size of the antenna can be optimized which can further optimize its parameters such as gain, directivity and efficiency. A dataset was created containing input parameters as resonant frequency of the antenna (f ), dielectric constant of the substrate in which the patch is etched (ε) and height of the dielectric substrate (h) and output parameters as dimensions of the patch, i.e., length of the patch (l) and width of the patch (w) which can be calculated [12]. Artificial neural network (ANN) is used for optimization.…”
Section: Introductionmentioning
confidence: 99%