AI Deep Learning Optimization for Compact Dual-Polarized High-Isolation Antenna Using Backpropagation Algorithm

An artificial intelligence deep learning algorithm is proposed to analyze a dual-polarized high-isolation antenna effectively. The method is a building model of multi-input target characteristics and multioutput dimensional variables based on a backpropagation algorithm (MIMO-BP). The inputs are def...

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Vydáno v:	IEEE antennas and wireless propagation letters Ročník 23; číslo 2; s. 898 - 902
Hlavní autoři:	Wu, Duo-Long, Hu, Xiao Jian, Chen, Jin Hao, Ye, Liang Hua, Li, Jian-Feng
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.02.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Antenna design Antennas Artificial intelligence Artificial intelligence (AI) deep learning optimization Back propagation backpropagation algorithm (BPA) Backpropagation algorithms Bandwidth Bandwidths Deep learning Design optimization Dual polarization (waves) dual-polarization antenna high isolation Impedance Machine learning Optimization Polarization Prediction algorithms
ISSN:	1536-1225, 1548-5757
On-line přístup:	Získat plný text
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