Table 7 Calculated values (MSE, R) of NIO NN models with LMA for Number of Hidden Neurons 10 and 20 with number of delays d2 – d100 for input values rH, T.

From: Design of a new method for occupancy monitoring in smart home care with autonomous mobile robot within Internet of Things

 

NIO NN models with LMA 10 hidden neurons

NIO NN models with LMA 20 hidden neurons

MSE

R (%)

Time (hh:mm:ss)

MSE

R (%)

Time (hh:mm:ss)

d2

8.923\(\cdot 10^{-3}\)

73.68

00:00:00

8.720\(\cdot 10^{-3}\)

72.12

00:01:13

d5

7.955\(\cdot 10^{-3}\)

75.15

00:01:34

10.34\(\cdot 10^{-3}\)

73.07

00:01:28

d10

7.988\(\cdot 10^{-3}\)

75.18

00:00:56

8.745\(\cdot 10^{-3}\)

75.10

00:01:04

d20

8.052\(\cdot 10^{-3}\)

77.01

00:00:58

7.504\(\cdot 10^{-3}\)

78.50

00:00:53

d30

7.634\(\cdot 10^{-3}\)

78.64

00:00:51

6.620\(\cdot 10^{-3}\)

83.63

00:01:45

d40

6.005\(\cdot 10^{-3}\)

84.73

00:01:02

5.933\(\cdot 10^{-3}\)

83.95

00:01:19

d50

5.931\(\cdot 10^{-3}\)

84.73

00:01:05

4.926\(\cdot 10^{-3}\)

87.85

00:01:25

d60

4.568\(\cdot 10^{-3}\)

86.96

00:01:01

3.826\(\cdot 10^{-3}\)

90.49

00:01:42

d70

4.797\(\cdot 10^{-3}\)

88.79

00:00:55

3.265\(\cdot 10^{-3}\)

91.81

00:02:27

d80

3.935\(\cdot 10^{-3}\)

89.99

00:00:51

2.935\(\cdot 10^{-3}\)

93.18

00:02:12

d90

3.349\(\cdot 10^{-3}\)

91.50

00:00:56

2.366\(\cdot 10^{-3}\)

94.18

00:04:09

d100

3.028\(\cdot 10^{-3}\)

92.57

00:00:58

2.543\(\cdot 10^{-3}\)

94.11

00:03:07