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Table 2 Comparison of evaluation Metrices for the proposed NNARX and RNN in (Allam et al. 2011a)

From: Using nonlinear auto-regressive with exogenous input neural network (NNARX) in blood glucose prediction

PH (min.)

NPE (%)

RMSE (mmol/L)

FIT (%)

 

Proposed NNARX

RNN in (Allam et al. 2011a)

Proposed NNARX

RNN in (Allam et al. 2011a)

Proposed NNARX

RNN in (Allam et al. 2011a)

15

14.1713

1.7

1.1890

0.14

79.2484

95.33

30

11.6805

5.27

0.9117

0.42

82.9889

85.83

45

10.5562

10.28

0.7446

0.82

84.6989

72.3

60

10.6028

16.2

0.7512

1.32

84.0512

56.61

90

12.3604

1.0209

77.9620

100

13.3

1.1890

75.2006

Standard deviation

1.330464

6.29

0.180432

0.51

2.530228

17.01