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International Journal of Interdisciplinary Research

Table 5 Individual errors between experimental and predicted values of thermal resistance & thermal absorptivity by ANN

From: Development and comparison of artificial neural network and statistical model for prediction of thermo-physiological properties of polyester–cotton plated fabrics

Sample code

Experimental thermal resistance × 10−3 (Km2/W)

Predicted thermal resistance × 10−3 (Km2/W)

Error % \(\left( {\frac{{\left| {E - P} \right|}}{E}} \right)\) *100

Experimental thermal absorptivity (Ws1/2/m2K)

Predicted thermal absorptivity (Ws1/2/m2K)

Error % \(\left( {\frac{{\left| {E - P} \right|}}{E}} \right)\) *100

PETC3

20.50

21.135

3.10

84.0

83.74

0.31

PETC6

20.50

21.200

3.42

94.1

85.18

9.48

PETC10

24.50

26.593

8.54

70.1

72.22

2.99

PETC15

31.20

32.455

4.02

68.5

72.10

5.25

PETC27

22.80

22.417

1.68

92.5

87.48

5.43

PETC30

25.50

26.395

3.51

74.2

73.36

1.14

PETC32

23.87

23.345

2.20

111.9

97.25

13.11

PETC35

29.22

26.356

9.80

81.32

87.37

7.44

PETC41

31.10

33.847

8.83

149.5

141.90

5.12

PETC45

35.06

36.219

3.30

131.0

132.40

1.07

Mean absolute percentage error

  

4.84

  

5.13