基于4种长短时记忆神经网络组合模型的畸形波预报
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赵勇, 苏丹
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Rogue Wave Prediction Based on Four Combined Long Short-Term Memory Neural Network Models
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ZHAO Yong, SU Dan
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表2 各模型网络参数设置
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Tab.2 Parameter setting of network models
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| 参数类别 | 模型 | 数量设置 | | 隐藏层层数 | LSTM | 1 | | LSTM-CNN | 3 | | LSTM-EMD | 2 | | LSTM-ARIMA | 1 | | LSTM-Kalman | 1 | | 隐藏层节点数 | LSTM | 128 | | LSTM-CNN | 300 | | LSTM-EMD | 20 | | LSTM-ARIMA | 3 | | LSTM-Kalman | 4 | | 批尺寸 | LSTM | 32 | | LSTM-CNN | 16 | | LSTM-EMD | 20 | | LSTM-ARIMA | 1 | | LSTM-Kalman | 1 | | 训练次数 | LSTM | 100 | | LSTM-CNN | 1000 | | LSTM-EMD | 100 | | LSTM-ARIMA | 100 | | LSTM-Kalman | 100 |
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