BPELoran

Shiyao Liu1,2, Wei Guo1,2, Yu Hua1,2

  • 1National Time Service Center, Chinese Academy of Sciences, Xi'an 710600, China.

PubMed
概括

这项研究引入了一种反向传播神经网络 (BPNN) 模型,用于预测eLoran计时系统中天气变化引起的地面波传播延迟波动. BPNN模型准确地预测了这些延迟,提高了系统计时的准确性.

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