Table 1 Show the rate of differentiation measured by CCD experiment and that predicted using ANN.

From: Optimization of culture conditions for differentiation of melon based on artificial neural network and genetic algorithm

No.

Y1

Y2

Y3

Y4

The rate of differentiation (P, %)

Actual values

Predicted values

1

−1

−1

−1

−1

83.21

82.89

2

−1

−1

−1

1

80.37

80.26

3

−1

−1

1

−1

76.53

77.35

4

−1

−1

1

1

74.82

76.15

5

−1

1

−1

−1

80.15

81.83

6

−1

1

−1

1

76.38

76.28

7

−1

1

1

−1

73.75

73.66

8

−1

1

1

1

69.85

69.88

9

1

−1

−1

−1

87.82

87.35

10

1

−1

−1

1

85.38

82.54

11

1

−1

1

−1

83.34

83.23

12

1

−1

1

1

80.52

79.97

13

1

1

−1

−1

85.5

85.62

14

1

1

−1

1

82.99

81.63

15

1

1

1

−1

80.33

80.85

16

1

1

1

1

76.51

76.74

17

−2

0

0

0

76.29

75.87

18

2

0

0

0

78.52

80.11

19

0

−2

0

0

82.59

84.84

20

0

2

0

0

78.38

79.83

21

0

0

−2

0

78.43

81.47

22

0

0

2

0

71.87

71.38

23

0

0

0

−2

80.26

79.69

24

0

0

0

2

76.37

76.19

25

0

0

0

0

82.98

83.16

26

0

0

0

0

83.25

83.16

27

0

0

0

0

83.06

83.16

28

0

0

0

0

83.32

83.16

29

0

0

0

0

82.65

83.16

30

0

0

0

0

83.29

83.16

31

0

0

0

0

83.37

83.16

RMSE

     

0.0108

R2

     

0.9637