Research Article
Research on a Grey Prediction Model of Population Growth Based on a Logistic Approach
Table 9
Fitting metrics of models for validation of Sichuan data.
| Year | Raw data | NGM | APE (%) | Verhulst | APE (%) | LPGMWBO | APE (%) |
| 2012 | 3516 | 3516.00 | 0.0000 | 3516.00 | 0.0000 | 57200.41 | 0.0000 | 2013 | 3640 | 3740.85 | 2.7706 | 2694.63 | −25.9717 | 40138.75 | −9.2721 | 2014 | 3769 | 3879.89 | 2.9421 | 3788.95 | 0.5293 | 35605.46 | 10.6183 | 2015 | 3912 | 4031.68 | 3.0592 | 4318.81 | 10.3991 | 21571.71 | 1.4600 | 2016 | 4066 | 4197.39 | 3.2313 | 3887.62 | −4.3871 | 10200.79 | −13.2837 |
| MAPE | | | 3.0007 | | 10.3217 | | 8.6585 | 2017 | 4217 | 4378.29 | 3.8248 | 2822.88 | −33.0595 | 4257.574 | 0.9621 |
| MAPE | | | 3.8248 | | 33.0595 | | 0.9621 | RMSPE | | | 2.908642 | | 17.77229 | | 7.939729 | IA | | | 0.951637 | | 0.136366 | | 0.996091 | U1 | | | 0.014756 | | 0.09594 | | 0.033772 | U2 | | | 0.02992 | | 0.184214 | | 0.06721 | R | | | 0.996085 | | 0.031431 | | 0.992387 |
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