Table 2 LMB-NN numerical analysis for all cases in each scenario.

From: Design of stochastic computational Levenberg Marquardt backpropagation-based technique to investigate temperature distribution of longitudinal moving porous fin

Scenario

Cases

Time (s)

MSE

Mu

Performance

Epoch

Gradient

Testing

Training

Validation

(Si)

C1

27

3.60E−10

7.93E−11

1.83E−10

1.00E−09

7.93E−11

45

8.26E−08

C2

1

1.90E−10

1.96E−10

2.92E−10

1.00E−09

1.96E−10

111

9.58E−08

C3

30

2.29E−11

2.75E−11

2.84E−11

1.01E−09

2.75E−11

48

9.41E−08

(M)

C1

16

7.89E−11

4.31E−11

5.95E−11

1.00E−10

4.31E−11

38

9.63E−08

C2

22

4.69E−09

2.50E−09

4.38E−09

1.00E−07

2.50E−09

58

9.90E−08

C3

30

2.29E−11

2.75E−11

2.84E−11

1.01E−09

2.75E−11

53

9.41E−08

(Nr)

C1

6

1.34E−10

4.69E−11

9.60E−11

1.00E−09

4.69E−11

16

8.53E−08

C2

24

5.47E−10

3.37E−10

2.73E−10

1.00E−08

3.37E−08

67

9.79E−08

C3

1

1.60E−07

9.71E−11

1.34E−10

1.00E−09

9.71E−11

105

9.88E−08

(Pe)

C1

22

9.41E−10

3.66E−10

6.01E−10

1.00E−08

3.66E−10

40

9.50E−08

C2

28

7.76E−10

3.34E−10

5.37E−10

1.00E−08

3.34E−10

62

9.65E−08

C3

7

1.52E−10

1.10E−10

1.34E−10

1.00E−09

1.02E−10

80

8.04E−08

(H)

C1

9

1.55E−12

7.22E−13

1.49348–12

1.00E−11

7.22E−13

30

8.31E−08

C2

12

3.51E−09

7.02E−10

1.76E−09

1.00E−08

7.02E−10

40

9.06E−08

C3

6

1.39E−11

6.02E−12

1.08E−11

1.00E−10

6.02E−12

32

9.45E−08

Back to article page