Machine-learning-assisted optimization and its application to antenna designs: Opportunities and challenges
With the rapid development of modern wireless communications and radar, antennas and
arrays are becoming more complex, therein having, eg, more degrees of design freedom …
arrays are becoming more complex, therein having, eg, more degrees of design freedom …
[图书][B] Complex-valued neural networks
A Hirose - 2006 - Wiley Online Library
Complex-valued neural networks Complex-Valued Neural Networks Page 2 IEEE Press 445
Hoes Lane Piscataway, NJ 08854 IEEE Press Editorial Board 2013 John Anderson, Editor in …
Hoes Lane Piscataway, NJ 08854 IEEE Press Editorial Board 2013 John Anderson, Editor in …
Artificial neural design of microstrip antennas
N Türker, F Güneş, T Yildirim - Turkish Journal of Electrical …, 2006 - journals.tubitak.gov.tr
A general design procedure is suggested for microstrip antennas using artificial neural
networks and this is demonstrated using rectangular patch geometry. In this design …
networks and this is demonstrated using rectangular patch geometry. In this design …
Application of artificial neural networks to broadband antenna design based on a parametric frequency model
An artificial neural network (ANN) is proposed to predict the input impedance of a
broadband antenna as a function of its geometric parameters. The input resistance of the …
broadband antenna as a function of its geometric parameters. The input resistance of the …
[HTML][HTML] Mathematical model on the effects of conductor thickness on the centre frequency at 28 GHz for the performance of microstrip patch antenna using air …
The use of microstrip patch configuration in the 5th generation (5G) wireless network is
expected to fulfill the demands of smartphone users by significantly increasing the capacity …
expected to fulfill the demands of smartphone users by significantly increasing the capacity …
Analysis and design of circular fractal antenna using artificial neural networks
A Neural Network is a simplified mathematical model based on Biological Neural Network,
which can be considered as an extension of conventional data processing technique. In this …
which can be considered as an extension of conventional data processing technique. In this …
Applications of neural networks in wireless communications
In recent years, the art of using neural networks (NNs) for wireless-communication
engineering has been gaining momentum. Although it has been used for a variety of …
engineering has been gaining momentum. Although it has been used for a variety of …
Modeling and design of printed antennas using neural networks
Y Tighilt, F Bouttout, A Khellaf - International Journal of RF and …, 2011 - Wiley Online Library
A single neural network is developed to model the resonant frequency of rectangular patch
printed on uniaxially anisotropic substrate with air gap using effective parameters in …
printed on uniaxially anisotropic substrate with air gap using effective parameters in …
SIW Technology for 5G Antenna Applications and Beyond—A Critical Review
JS Darling, V Guruviah… - International Journal of …, 2025 - Wiley Online Library
With the current advancements in millimeter wave communication, low‐profile structure and
power handling capability at high frequencies have become the prime focus for the …
power handling capability at high frequencies have become the prime focus for the …
Microstrip antenna design using artificial neural networks
VV Thakare, P Singhal - … of RF and Microwave Computer‐Aided …, 2010 - Wiley Online Library
Neural‐network computational modules have recently gained recognition as an
unconventional and useful tool for RF and microwave modeling and design. Neural …
unconventional and useful tool for RF and microwave modeling and design. Neural …