Table 4 Various statistics of scenarios (1–8) for cases (1–3) of TFFMFTDECR model.

From: The intelligent networks for double-diffusion and MHD analysis of thin film flow over a stretched surface

Scenario

Case

Mean square error

Performance

Gradient

Mu

Epoch

Time

Training

Validation

Testing

1

1

3.51E−10

1.58E−9

5.56E−10

3.52E−10

7.06E−8

1.00E−10

96

1

2

5.16E−10

1.03E−9

6.65E−10

5.16E−10

9.96E−8

1.00E−8

728

17

3

2.18E−9

4.73E−9

2.14E−8

2.19E−9

9.99E−8

1.00E−8

809

14

2

1

3.49E−11

6.75E−10

1.01E−10

3.5E−8

2.56E−8

1.00E−10

198

3

2

6.91E−10

7.21E−9

1.06E−8

6.91E−10

9.92E−8

1.00E−11

128

2

3

9.27E−10

4.93E−9

4.08E−8

9.27E−10

8.74E−8

1.00E−10

81

1

3

1

1.07E−9

5.67E−9

4.59E−9

1.089E−9

8.30E−8

1.00E−10

67

1

2

2.65E−10

5.35E−10

4.30E−10

7.99E−11

9.47E−8

1.00E−11

38

1

3

1.25E−9

2.96E−9

6.20E−9

1.25E−9

2.30E−8

1.00E−10

23

1

4

1

7.53E−10

5.92E−9

2.95E−9

7.53E−10

4.41E−8

1.00E−10

86

1

2

2.59E−10

9.20E−10

1.21E−9

2.07E−10

5.89E−8

1.00E−10

88

1

3

1.46E−9

2.07E−9

2.44E−9

9.59E−10

2.12E−6

1.00E−11

60

1

5

1

1.29E−9

5.27E−9

4.74E−9

1.30E−9

9.83E−8

1.00E−10

48

1

2

1.81E−9

6.98E−9

6.67E−9

1.67E−9

9.74E−8

1.00E−10

58

1

3

4.45E−10

4.08E−9

3.01E−9

3.00E−10

3.20E−7

1.00E−11

131

2

6

1

8.64E−10

2.16E−8

3.30E−9

8.34E−10

1.45E−6

1.00E−9

851

12

2

2.16E−10

2.80E−10

3.45E−10

9.65E–11

2.78E−6

1.00E−12

44

1

3

2.54E−9

2.14E−8

1.59E−8

2.55E−9

9.69E−8

1.00E−9

87

1

7

1

1.16E−9

4.49E−9

4.20E−9

9.10E−10

5.39E−7

1.00E−11

63

1

2

1.21E−9

9.59E−9

5.90E−9

1.22E−9

7.23E−8

1.00E−9

131

2

3

1.19E−10

3.38E−9

5.45E−10

1.20E−10

7.24E−8

1.00E−10

108

1

8

1

1.74E−9

8.01E−9

1.09E−8

1.66E−9

9.28E−8

1.00E−9

116

1

2

4.05E−10

2.20E−9

2.40E−9

3.61E−10

2.00E−7

1.00E−11

116

1

3

1.74E−9

8.01E−9

1.09E−8

1.66E−9

9.28E−8

1.00E−9

116

1

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