Journal on Communications ›› 2019, Vol. 40 ›› Issue (4): 149-159.doi: 10.11959/j.issn.1000-436x.2019091
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Jingyi QU,Meng YE,Xing QU
Revised:
2019-02-13
Online:
2019-04-25
Published:
2019-05-05
Supported by:
CLC Number:
Jingyi QU,Meng YE,Xing QU. Airport delay prediction model based on regional residual and LSTM network[J]. Journal on Communications, 2019, 40(4): 149-159.
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不使用LSTM模块 | 使用LSTM模块 | |||
网络名称 | 准确率 | 网络名称 | 准确率 | |
ANN1 | 89.49% | ANN1-LSTM | 90.96% | |
ANN2 | 90.34% | ANN2-LSTM | 91.01% | |
ANN4 | 90.15% | ANN4-LSTM | 87.83% | |
ANN6 | 88.64% | ANN6-LSTM | 84.52% | |
VGG16 | 88.93% | VGG16-LSTM | 90.85% | |
VGG19 | 89.73% | VGG19-LSTM | 91.24% | |
ResNet18 | 91.85% | RR18-LSTM | 93.35% | |
ResNet34 | 93.05% | RR34-LSTM | 94.96% | |
ResNet50 | 93.97% | RR50-LSTM | 95.52% |
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