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Table 3 Loading matrix for input variables

From: Rainfall modeling using two different neural networks improved by metaheuristic algorithms

Input

PC1

PC2

PC3

PC4

PC5

R (t–1)

0.93

0.90

0.87

0.84

0.82

R (t–2)

0.89

0.86

0.83

0.81

0.80

R (t–3)

0.87

0.84

0.82

0.78

0.77

R (t–4)

0.83

0.82

0.81

0.76

0.75

R (t–5)

0.81

0.80

0.78

0.75

0.72

R (t–6)

0.72

0.70

0.72

0.71

0.70

R (t–7)

0.65

0.64

0.63

0.60

0.58

R (t–8)

0.61

0.60

0.59

0.57

0.55

R (t–9)

0.60

0.58

0.55

0.52

0.50