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Table 1 Experimental data adapted from (Shi et al. 2013 )

From: Optimization of underwater wet welding process parameters using neural network

Serial number

Process parameters

Water depth

Bead geometry

Error = Output (W,P,R) − Target

Target = 0

I(A)

U(V)

v(m/s)

D(m)

H(m)

W(m)

P(m)

R(m)

ΔW(m)

ΔP(m)

ΔR(m)

1

280

28

10

20

40

10.4

2.5

4.3

0.0061

0.0091

0.0016

2

320

32

6

20

20

12.5

3.8

8

0.0022

−0.0394

0.0998

3

300

32

10

22

60

10.4

3

4

−0.3280

−1.1397

−0.5471

4

340

28

6

22

0.1

13.9

3.5

3

1.6136

−0.1071

−0.7470

5

280

30

6

24

60

12.9

3.7

6.1

0.0223

−0.0104

0.0083

6

320

26

10

24

0.1

11.6

1.8

2

0.0093

0.0650

0.0269

7

300

26

6

18

40

12

2.9

5

−0.0177

−0.0126

0.0080

8

340

30

10

18

20

9.4

4.2

4.3

−0.0193

0.1365

0.0038

9

280

26

12

22

20

8.9

1.7

4.5

−0.3662

−1.0633

−0.2616

10

320

30

8

22

40

11.8

3.3

4.8

−0.0323

0.0312

0.0007

11

300

30

12

20

0.1

12.8

1.7

1.9

−0.0363

−0.1342

−0.0876

12

340

26

8

20

60

9.5

3.4

4.8

0.0169

−0.0132

0.0008

13

280

32

8

18

0.1

12.5

2

2

0.0089

0.0151

0.0553

14

320

28

12

18

60

7.9

2.7

4.9

−0.8149

−0.9025

1.8429

15

300

28

8

24

20

10.1

3.1

4.9

−0.0211

0.0055

−0.0067

16

340

32

12

24

40

10

3

4

0.0011

−0.0140

0.0213