Table 2 Input data and Eigen vectors
From: Rainfall modeling using two different neural networks improved by metaheuristic algorithms
Inputs R (t–1), R(t–2), R (t–3), R (t–4), R (T–5), R (t–6), R (t–7), R(t–8) and R (t–9) | % | % | |
|---|---|---|---|
*Components | Eigen values | Variance explained | Cumulative variance explained |
1 | 3 | 0.33 | 33 |
2 | 2 | 0.22 | 55 |
3 | 1 | 0.12 | 67 |
4 | 0.75 | 8.3 | 75 |
5 | 0.75 | 8.3 | 83 |
6 | 0.5 | 5.5 | 88.5 |
7 | 0.4 | 4.4 | 93 |
8 | 0.3 | 3.3 | 96.6 |
9 | 0.3 | 3.3 | 100 |