基于双尺度长短期记忆网络的交通事故量预测模型
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李文书,邹涛涛,王洪雁,黄海
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Traffic accident quantity prediction model based on dual-scale long short-term memory network
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Wen-shu LI,Tao-tao ZOU,Hong-yan WANG,Hai HUANG
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表 2 不同数据集下的模型特性 |
Tab.2 Model characteristics under different data sets |
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模型 | UK,epochs=700 | | Leeds,epochs=900 | MAE | MSE | RMSE | ACC/% | | MAE | MSE | RMSE | ACC/% | LSTM | 0.5135 | 0.6161 | 0.7849 | 60.8588 | | 0.4288 | 0.5811 | 0.7622 | 76.7608 | GRU | 0.6531 | 1.2837 | 1.1330 | 50.2231 | | 1.0072 | 2.2285 | 1.4928 | 45.4190 | SAEs | 0.5872 | 0.8195 | 0.9052 | 55.2421 | | 0.8611 | 1.4739 | 1.2140 | 53.3366 | DS-LSTM | 0.1900 | 0.0855 | 0.2924 | 88.1876 | | 0.3227 | 0.2040 | 0.4517 | 83.2079 |
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