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Table 2 Weights and bias (generated from the ANN)

From: Development of a model for a walking robot made of Desai mechanism using ANN and regression approach

Neurons in hidden layer

Weight W1/ Neurons

Bias

Weight W2

Bias

1

2

3

4

5

6

7

1

 − 2.66

 − 1.85

0.57

 − 0.10

0.47

 − 0.98

3.71

2.1

1.06

-0.38

2

0.01

 − 0.26

 − 0.93

0.8

 − 0.36

 − 0.89

0.97

 − 2.08

 − 0.37

3

 − 0.04

 − 0.18

 − 0.74

 − 0.79

0.28

 − 1.77

1.06

 − 1.10

1.57

4

 − 2.76

 − 0.66

 − 0.33

 − 0.08

0.37

0.28

2.51

1.49

 − 1.23

5

 − 1.82

3.03

 − 1.92

2.22

 − 0.13

 − 0.44

0.27

1.7

1.56

6

0.04

0.86

 − 1.23

2.55

 − 0.40

0.36

 − 1.32

0.48

1.45

7

 − 0.43

 − 0.32

0.83

1.54

1.68

 − 0.71

 − 1.43

0.37

 − 0.30

8

 − 1.29

 − 0.04

 − 0.78

0.98

0.55

 − 0.04

2.51

0.1

3.23

9

 − 1.80

 − 2.26

0.08

 − 2.76

 − 0.54

 − 2.50

 − 1.34

 − 0.93

0.29

10

 − 2.07

 − 1.36

 − 0.33

 − 1.65

0.64

2.02

3.72

 − 0.40

 − 2.61

11

 − 0.89

1.77

0.48

 − 0.09

 − 1.10

 − 0.58

0.03

 − 0.34

 − 0.48

12

 − 0.22

3.63

 − 1.11

2.97

 − 0.35

 − 1.20

 − 4.75

 − 2.82

 − 1.16

13

0.79

1

1.73

1.32

0.29

0.58

 − 0.52

2.04

0.91

14

1.64

 − 1.15

2.6

 − 2.10

0.18

 − 0.11

1.63

1.64

0.37

15

 − 2.09

0.95

 − 1.49

 − 1.24

0.56

1.11

1.89

0.13

 − 1.24

16

 − 1.70

0.52

 − 0.36

0.4

 − 0.20

1.34

 − 0.39

 − 1.45

0.26

17

1.64

 − 0.18

1.94

1.12

0.02

 − 1.26

 − 1.18

 − 2.39

1.59

18

 − 0.01

0.84

1.32

 − 0.07

 − 1.11

 − 1.31

1.39

 − 2.88

0.89