Table 12 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 quantities

  

\(Nh_{x}\)

 

Runs

X

Y

Z

BVP4C

ANN

Error

1

1

1

1

0.2335

0.2334

0.0428%

2

0

1

1

0.3594

0.3595

-0.0278%

3

-1

1

1

0.4829

0.4829

0.0000%

4

1

0

1

0.1833

0.1833

0.0000%

5

1

-1

1

0.1274

0.1273

0.0785%

6

1

1

-1

0.4213

0.4213

0.0000%

7

1

1

0

0.3274

0.3274

0.0000%

8

0

0

0

0.3874

0.3872

0.0516%

9

-1

0

0

0.4909

0.4911

-0.0407%

10

1

0

0

0.2818

0.2820

-0.0710%

11

0

-1

0

0.3417

0.3412

0.1463%

12

0

1

0

0.3874

0.3875

-0.0258%

13

0

0

-1

0.4600

0.4601

-0.0217%

14

0

0

1

0.3148

0.3149

-0.0318%

15

-1

-1

-1

0.4993

0.4995

-0.0401%

16

0

-1

-1

0.4179

0.4179

0.0000%

17

1

-1

-1

0.3346

0.3346

0.0000%

18

-1

0

-1

0.5384

0.5454

-1.3001%

19

-1

1

-1

0.5742

0.5740

0.0348%

20

-1

-1

0

0.4496

0.4496

0.0000%

21

-1

-1

1

0.3999

0.3998

0.0250%