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- W3137235783 abstract "Multi-parametric synthesis modeling of UWB antennas using artificial neural network (ANN) is presented in this paper. A monopole antenna with band notch characteristics is designed and simulated using Ansoft HFSS. The antenna realizes UWB frequency range varying from 2-10.75 GHz with triple band-notch frequencies centered at 2.68 GHz, 3.33 GHz, and 4.10 GHz, respectively. ANN model based on LM algorithm is proposed to predict the geometrical parameters of the antenna using UWB impedance bandwidth and notch frequencies. The model utilizes neural structural configuration of one hidden layer with 32 hidden neurons. An average percentage relative error of 1.59% for training and 2.21% for testing has been achieved respectively. Also, the percentage error between target and predicted output is observed below 4%. A prototype of the optimized configuration of the antenna has been fabricated and characterized." @default.
- W3137235783 created "2021-03-29" @default.
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- W3137235783 date "2020-11-27" @default.
- W3137235783 modified "2023-09-23" @default.
- W3137235783 title "Multi-Parametric Synthesis Modeling of Slotted UWB Antennas using Artificial Neural Network" @default.
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- W3137235783 doi "https://doi.org/10.1109/upcon50219.2020.9376439" @default.
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