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此文档用于解释航迹预测程序的执行流程
此程序基于循环神经网络(GRU和LSTM)从历史航迹数据中学习运动模式并用于预测未知的航迹, 程序的输入为固定长度的历史轨迹点序列(由初始航迹通过滑窗得到), 经过一层GRU和两层LSTM以及一层全连接层后得到预测输出, 输出结果为下一时间间隔(考虑的 ...
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