基于主成分分析和PSO-ELM算法的排土场稳定性预测模型
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高峰,吴晓东,周科平
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Prediction Model of Soil Dump Stability Based on Principal Component Analysis and PSO-ELM Algorithm
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Feng GAO,Xiaodong WU,Keping ZHOU
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表3 不同模型的输出结果对比
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Table 3 Comparison of output results of different models
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样本 编号 | 真实值 | 预测值 |
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BPNN | ELM | PSO-ELM | PCA-PSO-ELM |
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91 | 5(V) | 5.5443 | 4.6699 | 5.0936 | 5.0850 | 92 | 3(III) | 3.4779 | 3.1714 | 3.0214 | 3.0184 | 93 | 1(I) | 1.8100 | 1.1842 | 0.9521 | 0.9028 | 94 | 4(IV) | 4.9611 | 3.8648 | 3.8699 | 3.8195 | 95 | 1(I) | 1.1654 | 1.4305 | 1.0935 | 1.0040 | 96 | 4(IV) | 3.6122 | 3.9996 | 4.0544 | 3.9933 | 97 | 5(V) | 5.6236 | 4.9438 | 4.9937 | 5.0779 | 98 | 1(I) | 0.8102 | 0.7896 | 0.9994 | 0.9721 | 99 | 3(III) | 3.9471 | 3.3157 | 3.0690 | 3.0034 | 100 | 5(V) | 4.9532 | 4.7209 | 4.8955 | 4.9943 | RMSE 值 时间/s | 0.6005 | 0.2451 | 0.0747 | 0.0752 | 0.3533 | 0.1765 | 26.9467 | 12.9354 |
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