基于图神经网络的地表水水质预测模型
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许佳辉,王敬昌,陈岭,吴勇
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Surface water quality prediction model based on graph neural network
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Jia-hui XU,Jing-chang WANG,Ling CHEN,Yong WU
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表 4 PH监测值的预测结果 |
Tab.4 Prediction results of PH value |
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方法 | $L=1$ | | $L=3$ | | $L=5$ | | $L=7$ | | $L=9$ | MAE | MRE | MAE | MRE | MAE | MRE | MAE | MRE | MAE | MRE | 本文模型 | 0.081 | 1.2% | | 0.090 | 1.3% | | 0.096 | 1.4% | | 0.097 | 1.4% | | 0.110 | 1.6% | SVR | 0.101 | 1.5% | 0.125 | 1.8% | 0.135 | 1.9% | 0.144 | 2.0% | 0.167 | 2.2% | ARIMA | 0.079 | 1.1% | 0.143 | 2.0% | 0.138 | 1.9% | 0.135 | 1.8% | 0.167 | 2.2% | LSTM | 0.089 | 1.3% | | 0.125 | 1.8% | | 0.110 | 1.6% | | 0.105 | 1.6% | | 0.126 | 1.8% |
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