Research Article
Determination of Optimal Drop Height in Free-Fall Shock Test Using Regression Analysis and Back-Propagation Neural Network
Table 1
Training data sets by free-fall shock machine.
| Set | (cm) | 10 | 20 | 40 | 60 | 80 | 100 | 120 |
| Case 1 plastic programmer | Gpk (g) | 54.08 | 95.51 | 165.71 | 233.61 | 291.395 | 334.19 | 383.3 | | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 |
| Case 2 three pieces of elastomer | Gpk (g) | — | 82.41 | 190.03 | 324.22 | 463.55 | 613.73 | 794.82 | | — | 0.3 | 0.3 | 0.3 | 0.3 | 0.3 | 0.3 |
| Case 3 two pieces of elastomer | Gpk (g) | 59.21 | 134.2 | 306.63 | 449.72 | 632.13 | 811.05 | — | | 0.45 | 0.45 | 0.45 | 0.45 | 0.45 | 0.45 | — |
| Case 4 one piece of elastomer | Gpk (g) | 82.82 | 199.28 | 443.36 | 647.99 | 862.61 | — | — | | 0.9 | 0.9 | 0.9 | 0.9 | 0.9 | — | — |
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