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 6 溶解氧质量浓度的预测结果 |
Tab.6 Prediction results of dissolved oxygen mass concentration |
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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 | 0.354 | 5.7% | | 0.451 | 7.1% | | 0.466 | 7.3% | | 0.517 | 8.3% | | 0.582 | 9.2% | SVR | 0.525 | 8.4% | 0.731 | 11.5% | 0.803 | 12.0% | 0.897 | 13.9% | 0.876 | 13.7% | ARIMA | 0.501 | 8.0% | 0.818 | 12.3% | 0.802 | 12.0% | 0.865 | 13.6% | 0.891 | 13.8% | LSTM | 0.467 | 7.3% | | 0.672 | 10.9% | | 0.675 | 10.8% | | 0.742 | 11.7% | | 0.839 | 12.7% |
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