Model configurations tested for the weekly price index of wholesale green beans
| Model configurations | ||
|---|---|---|
| Algorithms | Levenberg–Marquardt (LM) algorithm | 1+2v (v = 0,1, …,59) |
| Scaled conjugate gradient (SCG) algorithm | 2+2v (v = 0,1, …,59) | |
| Number of delays | 2 | 1 + 10s–2+10s (s = 0,1, …,11) |
| 3 | 3 + 10s–4+10s (s = 0,1, …,11) | |
| 4 | 5 + 10s–6+10s (s = 0,1, …,11) | |
| 5 | 7 + 10s–8+10s (s = 0,1, …,11) | |
| 6 | 9 + 10s–10 + 10s (s = 0,1, …,11) | |
| Number of hidden neurons | 2 | 1 + 40m–10 + 40m (m = 0,1,2) |
| 3 | 11 + 40m–20 + 40m (m = 0,1,2) | |
| 5 | 21 + 40m–30 + 40m (m = 0,1,2) | |
| 10 | 31 + 40m–40 + 40m (m = 0,1,2) | |
| Training–validation–testing segmentation | 70%–15%–15% | 1–40 |
| 60%–20%–20% | 41–80 | |
| 80%–10%–10% | 81–120 |
| Model configurations | ||
|---|---|---|
| Algorithms | Levenberg–Marquardt (LM) algorithm | 1+2v (v = 0,1, …,59) |
| Scaled conjugate gradient (SCG) algorithm | 2+2v (v = 0,1, …,59) | |
| Number of delays | 2 | 1 + 10s–2+10s (s = 0,1, …,11) |
| 3 | 3 + 10s–4+10s (s = 0,1, …,11) | |
| 4 | 5 + 10s–6+10s (s = 0,1, …,11) | |
| 5 | 7 + 10s–8+10s (s = 0,1, …,11) | |
| 6 | 9 + 10s–10 + 10s (s = 0,1, …,11) | |
| Number of hidden neurons | 2 | 1 + 40m–10 + 40m (m = 0,1,2) |
| 3 | 11 + 40m–20 + 40m (m = 0,1,2) | |
| 5 | 21 + 40m–30 + 40m (m = 0,1,2) | |
| 10 | 31 + 40m–40 + 40m (m = 0,1,2) | |
| Training–validation–testing segmentation | 70%–15%–15% | 1–40 |
| 60%–20%–20% | 41–80 | |
| 80%–10%–10% | 81–120 |
Source(s): Table by authors