基于BP神经网络和FEFLOW模型模拟预测多年冻土活动层温度
Simulation and prediction of permafrost active layer temperature based on BP neural network and FEFLOW model： take the Fenghuoshan area on the Tibetan Plateau as an example
基于BP神经网络和FEFLOW模型模拟预测多年冻土活动层温度 |
| 郭林茂, 常娟, 徐洪亮, 叶仁政 |
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Simulation and prediction of permafrost active layer temperature based on BP neural network and FEFLOW model： take the Fenghuoshan area on the Tibetan Plateau as an example |
| Linmao GUO, Juan CHANG, Hongliang XU, Renzheng YE |
| 图3 地表温度时间序列的偏自相关函数 |
| Fig.3 Partial autocorrelation function of surface temperature time series |
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