Accurate S parameter prediction of L‐shaped probe‐fed patch antenna with an improved artificial bee colony algorithm based on artificial neural network-Reference-Cited by-同舟云学术

Accurate S parameter prediction of L‐shaped probe‐fed patch antenna with an improved artificial bee colony algorithm based on artificial neural network

Published:2021-06-18 Issue:9 Volume:31 Page:
ISSN:1096-4290
Container-title:International Journal of RF and Microwave Computer-Aided Engineering
language:en
Short-container-title:Int J RF Microw Comput Aided Eng

Author:

Sun Jianfeng¹,Hu Yan¹,Fang Haoyu¹,Wang Zhuopeng¹

Affiliation:

1. College of Electronic and Information Engineering, Shandong University of Science and Technology Qingdao China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mmce.22783

Reference23 articles.

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3. A wideband L-probe patch antenna array with wide beamwidth

4. Multi‐task deep learning for real‐time 3D human pose estimation and action recognition;Luvizon D;IEEE Trans Pattern Anal Mach Intell

5. BabuGS ZhaoP LiXL.Deep convolutional neural network based regression approach for estimation of remaining useful life. Paper presented at: International Conference on Database Systems for Advanced Applications; 2016.https://doi.org/10.1007/978-3-319-32025-0_14

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