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Updated: Jun 3, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
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混合门循环单元的应用用于基于室内定位系统的店内轨迹预测

Yi Zuo1,2, Junhao Jiang1, Katsutoshi Yada3

  • 1Navigation College, Dalian Maritime University, Dalian, 116026, China.

Scientific reports
|January 8, 2025
PubMed
概括

本研究引入了新的循环神经网络 (RNN),用于使用射频识别 (RFID) 数据预测店内客户的位置. 拟议的模型提高了室内定位系统 (ILS) 的轨迹预测准确度.

关键词:
门的经常性单位 (GRU)混合式门单元 混合式门单元在商店的轨迹预测预测.长时间的短期记忆 (LSTM)经常性神经网络 (RNN)

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