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Theory and Modern Applications

Table 6 Performance of fitness function and performance measures during 100 independent runs

From: Application of Legendre polynomials based neural networks for the analysis of heat and mass transfer of a non-Newtonian fluid in a porous channel

Fit

MAD

TIC

RMSE

Min

Mean

Std

Min

Mean

Std

Min

Mean

Std

Min

Mean

Std

1.77E−07

8.36E−05

1.14E−04

1.46E−05

3.70E−04

2.34E−04

5.63E−06

1.42E−04

8.91E−05

1.66E−05

4.08E−04

2.56E−04

1.69E−05

1.80E−03

2.80E−03

1.09E−05

8.51E−03

1.18E−02

4.16E−06

3.36E−03

4.81E−03

1.24E−05

9.84E−03

1.38E−02

2.06E−04

2.40E−03

5.40E−03

1.24E−04

1.14E−02

1.67E−02

4.41E−05

4.49E−03

7.46E−03

1.34E−04

1.31E−02

1.98E−02

6.59E−04

5.00E−03

3.20E−03

2.34E−04

4.16E−02

2.74E−02

8.85E−05

1.62E−02

1.21E−02

2.73E−04

4.79E−02

3.23E−02