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 Jg. 70; H. 7; S. 5007 - 5014
Hauptverfasser:	Liu, Yan-Fang, Peng, Lin, Shao, Wei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.07.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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
ISSN:	0018-926X, 1558-2221
Online-Zugang:	Volltext
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