An Efficient Knowledge-Based Artificial Neural Network for the Design of Circularly Polarized 3-D-Printed Lens Antenna

An efficient knowledge-based artificial neural network (KBANN) is proposed, and it is used for the design of circularly polarized (CP) lens antenna in this article. In this KBANN, forward neural network (FNN) and inverse neural network (INN) are included. In this model, INN is the major component to...

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Veröffentlicht in:	IEEE transactions on antennas and propagation 2022-07, Vol.70 (7), p.5007-5014
Hauptverfasser:	Liu, Yan-Fang, Peng, Lin, Shao, Wei
Format:	Artikel
Sprache:	eng
Schlagworte:	3-D-printed Antenna design Antennas Artificial neural networks Circular polarization circularly polarized~(CP) antenna forward neural network (FNN) High gain inverse neural network (INN) Lens antennas Lenses Mathematical models Microstrip antennas Neurons Parameters Performance indices Predictive models prior knowledge Three dimensional printing Training
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