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 5 高锰酸盐指数的预测结果 |
Tab.5 Prediction results of permanganate index |
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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 | 0.410 | 8.2% | | 0.455 | 10.5% | | 0.474 | 10.8% | | 0.497 | 11.1% | | 0.520 | 11.4% | SVR | 0.624 | 13.7% | 0.673 | 14.6% | 0.680 | 14.8% | 0.671 | 14.6% | 0.681 | 14.8% | ARIMA | 0.571 | 12.9% | 0.712 | 15.5% | 0.695 | 15.1% | 0.743 | 16.0% | 0.850 | 17.7% | LSTM | 0.521 | 11.4% | | 0.532 | 11.7% | | 0.589 | 13.2% | | 0.641 | 14.0% | | 0.674 | 14.7% |
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