Table 11 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

  

\(Sh_{x}\)

 

Runs

X

Y

Z

BVP4C

ANN

Error

1

1

1

1

-0.0605

-0.0606

-0.1653%

2

0

1

1

-0.0651

-0.0651

0.0000%

3

-1

1

1

-0.0706

-0.0706

0.0000%

4

1

0

1

-0.0612

-0.0612

0.0000%

5

1

-1

1

-0.0620

-0.0620

0.0000%

6

1

1

-1

-0.0592

-0.0593

-0.1689%

7

1

1

0

-0.0596

-0.0596

0.0000%

8

0

0

0

-0.0651

-0.0652

-0.1536%

9

-1

0

0

-0.0711

-0.0711

0.0000%

10

1

0

0

-0.0604

-0.0604

0.0000%

11

0

-1

0

-0.0662

-0.0662

0.0000%

12

0

1

0

-0.0645

-0.0645

0.0000%

13

0

0

-1

-0.0653

-0.0654

-0.1531%

14

0

0

1

-0.0658

-0.0659

-0.1520%

15

-1

-1

-1

-0.0704

-0.0705

-0.1420%

16

0

-1

-1

-0.0663

-0.0665

-0.3017%

17

1

-1

-1

-0.0611

-0.0611

0.0000%

18

-1

0

-1

-0.0715

-0.0712

0.4196%

19

-1

1

-1

-0.0706

-0.0701

0.7082%

20

-1

-1

0

-0.0699

-0.0700

-0.1431%

21

-1

-1

1

-0.0700

-0.0701

-0.1429%