Journal
INTERNATIONAL JOURNAL OF ELECTRONICS
Volume 107, Issue 12, Pages 2068-2083Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207217.2020.1756449
Keywords
Artificial neural network (ANN); rectangular monopole antenna; triple notch; ultra-wide Band (UWB); U-shaped slots
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Funding
- Science and Engineering Research Board (SERB), Department of Science and Technology (DST) [SB/S3/EECE/093/2016]
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In this paper, a multi-parametric analysis modelling for an ultra-wideband (UWB) antenna using artificial neural networks is proposed to predict both the UWB impedance bandwidth and multi-band notch frequencies. Two different neural models are implemented and tested using eight different algorithms. Neural model with two hidden layers having testing mean square error as 27.51 kHz proved to be an efficient one. The effectiveness of the optimised models is further validated using an additional dataset which has not been used during training and/or testing phases. A prototype is fabricated and characterised. Close agreement between simulated and experimental results is validated for the authenticity of the suggested work.
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