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- W3017872866 abstract "Microstrip patch antenna (MPA) are used for communication because of its various benefits such as low profile, light weight and small size. In the given work, antenna design parameters such as length and width are optimized for Ku-Band (12 GHz ≤ f ≤ 18 GHz) applications using artificial neural network. Back propagation algorithm is used to train the neural network as it gives accurate predictions, fast convergence and takes less training time. After optimizations, antenna is designed to improve gain characteristics in HFSS." @default.
- W3017872866 created "2020-05-01" @default.
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- W3017872866 date "2020-02-01" @default.
- W3017872866 modified "2023-10-17" @default.
- W3017872866 title "Optimization of Antenna Parameters Using Neural Network Technique for Ku- Band Applications" @default.
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- W3017872866 doi "https://doi.org/10.1109/spin48934.2020.9070929" @default.
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