Optimization of RFID reading performance based on YOLOv3 and Elman neural network

As a non-contact automatic identification technology, Radio Frequency Identification (RFID) is of great significance to improve the simultaneous identification of multi-target. This paper designs a more efficient and accurate multi-tag reading performance measurement system based on the fusion of YO...

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Veröffentlicht in:	Journal of intelligent & fuzzy systems 2022-01, Vol.42 (3), p.2581-2594
Hauptverfasser:	Li, Lin, Yu, Xiaolei, Liu, Zhenlu, Zhao, Zhimin, Wu, Chao, Zhang, Ke, Zhou, Shanhao
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Automatic identification Machine vision Neural networks Optimization Performance evaluation Performance measurement Radio frequency identification Reading Recurrent neural networks Run time (computers) Subsystems Template matching
Online-Zugang:	Volltext
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