Research Article
A Novel Output Prediction Method in Production Management Based on Parameter Evaluation Using DHNN
Table 9
Comparison of output predictions and actual output.
| Seasons | Actual output | Output prediction of Model A | Output prediction of Model B | Output prediction of Model B′ | Error of Model A | Error of Model B | Error of Model B′ |
| 2008 | 101 | 98 | 99 | 100 | 2.97% | 1.98% | 0.99% | 2009 | 119 | 117 | 118 | 118 | 1.68% | 0.84% | 0.84% | 2010 | 135 | 139 | 140 | 137 | −2.96% | −3.70% | −1.48% | 2011 | 150 | 160 | 157 | 156 | −6.67% | −4.67% | −4.00% | 2012 | 160 | 165 | 164 | 162 | −3.13% | −2.50% | −1.25% |
| Mean absolute percentage error (MAPE) | 3.48% | 2.74% | 1.71% |
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