基于GRU神经网络的巷道平均风速获取研究
邵良杉,闻爽爽

Research on Obtaining Average Wind Speed of Roadway Based on GRU Neural Network
Liangshan SHAO,Shuangshuang WEN
表1 误差数据
Table 1 The error data
算法遍历次数训练集损失均方误差平均绝对误差测试集损失均方误差损失平均绝对误差损失
13.66E-023.66E-021.31E-011.80E-021.80E-021.20E-01
22.50E-022.50E-021.22E-011.40E-021.40E-021.07E-01
31.91E-021.91E-021.07E-019.96E-039.96E-038.98E-02
41.41E-021.41E-029.02E-026.80E-036.80E-037.47E-02
51.01E-021.01E-027.42E-024.63E-034.63E-036.30E-02
66.99E-036.99E-036.10E-022.52E-032.52E-034.54E-02
74.78E-034.78E-034.80E-021.40E-031.40E-033.36E-02
83.27E-033.27E-033.78E-027.84E-047.84E-042.51E-02
92.30E-032.30E-033.06E-023.84E-043.84E-041.68E-02
101.70E-031.70E-032.49E-021.91E-041.91E-049.91E-03
111.33E-031.33E-032.05E-021.32E-041.32E-047.53E-03
121.12E-031.12E-031.81E-021.32E-041.32E-048.89E-03
139.92E-049.92E-041.73E-021.54E-041.54E-041.03E-02
149.19E-049.19E-041.70E-021.77E-041.77E-041.07E-02
158.71E-048.71E-041.68E-021.99E-041.99E-041.12E-02
168.42E-048.42E-041.69E-022.23E-042.23E-041.25E-02
178.21E-048.21E-041.67E-022.32E-042.32E-041.27E-02
188.03E-048.03E-041.68E-022.50E-042.50E-041.37E-02
197.90E-047.90E-041.67E-022.55E-042.55E-041.40E-02
207.78E-047.78E-041.66E-022.53E-042.53E-041.39E-02