基于IABC-RBF神经网络的地下水埋深预测模型
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邵光成,章坤,王志宇,王小军,卢佳
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Groundwater depth prediction model based on IABC-RBF neural network
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Guang-cheng SHAO,Kun ZHANG,Zhi-yu WANG,Xiao-jun WANG,Jia LU
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表 2 3种模型预测结果的对比 |
Tab.2 Comparison of prediction results of three prediction models |
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年份 | 实测值/m | 模型 | 预测值/m | MRE/% | 最优 | 最差 | 平均 | 2006 | 15.59 | RBF | − | − | 14.97 | 3.95 | 2006 | 15.59 | ABC-RBF | 15.76 | 16.07 | 15.85 | 1.66 | 2006 | 15.59 | IABC-RBF | 15.74 | 15.92 | 15.83 | 1.51 | 2007 | 15.57 | RBF | − | − | 14.56 | 6.46 | 2007 | 15.57 | ABC-RBF | 15.73 | 16.27 | 16.02 | 2.91 | 2007 | 15.57 | IABC-RBF | 15.79 | 16.18 | 15.97 | 2.58 | 2008 | 15.78 | RBF | − | − | 15.15 | 4.01 | 2008 | 15.78 | ABC-RBF | 15.69 | 15.32 | 15.55 | 1.44 | 2008 | 15.78 | IABC-RBF | 15.71 | 15.42 | 15.59 | 1.20 | 2009 | 16.21 | RBF | − | − | 17.19 | 6.08 | 2009 | 16.21 | ABC-RBF | 16.06 | 14.97 | 15.66 | 3.38 | 2009 | 16.21 | IABC-RBF | 16.06 | 15.59 | 15.75 | 3.04 | 2010 | 16.25 | RBF | − | − | 14.78 | 9.05 | 2010 | 16.25 | ABC-RBF | 16.25 | 16.04 | 16.20 | 0.68 | 2010 | 16.25 | IABC-RBF | 16.25 | 16.11 | 16.25 | 0.03 |
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