Table 9 Comparing numerical techniques with ANN.

From: Machine learning-assisted thermal analysis of propylene glycol nanofluid with dual flux and bioconvection over a Riga plate

  

Coded values

  

\(Cf_{x}\)

 

Runs

X

Y

Z

BVP4C

ANN

Error

1

1

1

1

-2.0783

-2.0784

-0.005%

2

0

1

1

-2.0554

-2.0555

-0.005%

3

-1

1

1

-2.0316

-2.0318

-0.010%

4

1

0

1

-1.8529

-1.8530

-0.005%

5

1

-1

1

-1.6695

-1.6670

0.150%

6

1

1

-1

-1.8993

-1.8995

-0.011%

7

1

1

0

-1.9894

-1.9890

0.020%

8

0

0

0

-1.7848

-1.7850

-0.011%

9

-1

0

0

-1.7602

-1.7603

-0.006%

10

1

0

0

-1.8093

-1.8090

0.017%

11

0

-1

0

-1.6243

-1.6532

-1.779%

12

0

1

0

-1.9657

-1.9567

0.458%

13

0

0

-1

-1.6908

-1.6910

-0.012%

14

0

0

1

-1.8771

-1.8770

0.005%

15

-1

-1

-1

-1.4751

-1.4755

-0.027%

16

0

-1

-1

-1.5012

-1.5014

-0.013%

17

1

-1

-1

-1.5272

-1.5275

-0.020%

18

-1

0

-1

-1.6656

-1.6656

0.000%

19

-1

1

-1

-1.8505

-1.8506

-0.005%

20

-1

-1

0

-1.5734

-1.5734

0.000%

21

-1

-1

1

-1.6695

-1.6672

0.138%