IEEE transactions on antennas and propagation, 2018-07, Vol.66 (7), p.3718-3723
2018
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Details
- Autor(en) / Beteiligte
- Titel
- Multiparameter Modeling With ANN for Antenna Design
- Ist Teil von
- IEEE transactions on antennas and propagation, 2018-07, Vol.66 (7), p.3718-3723
- Ort / Verlag
- New York: IEEE
- Erscheinungsjahr
- 2018
- Quelle
- IEEE Electronic Library Online
- Beschreibungen/Notizen
- In this communication, a novel artificial neural network (ANN) model is proposed to describe the antenna performance with various parameters. In this model, three parallel and independent branches are involved for three different performance parameters. Meanwhile, a data-classification technique of support vector machine is also included to classify geometrical variables into the proper categories. Once the geometrical variables are input, the ANN model can simultaneously obtain S-parameter, gain, and radiation pattern from the independent branches. The validity and efficiency of this proposed model are confirmed with a Fabry-Perot resonator antenna example.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 0018-926XeISSN: 1558-2221DOI: 10.1109/TAP.2018.2823775Titel-ID: cdi_ieee_primary_8332988
- Format
- –
- Schlagworte
- Antenna design, Antenna radiation patterns, Artificial neural network (ANN), Artificial neural networks, data classification, Fabry–Perot (FP) resonator antenna, Mathematical models, Neural networks, Parameters, performance parameters, Scattering parameters, Solid modeling, Support vector machines, Training