Table 5 Model performance and rankings based on varying numbers of HLneurons.

From: ANN trained by BBO for modeling of fly ash cementitious systems with high range water reducing admixtures

No. of HLneurons

Evaluation criteria values

Ranking of criteria

Overall ranking score

Compressive strength

Flow value

Compressive strength

Flow value

R2

RMSE

R2

RMSE

R2

RMSE

R2

RMSE

HL10

0.953

1.485

0.931

0.412

2

3

2

1

8

HL11

0.966

1.463

0.947

0.385

3

4

3

2

12

HL12

0.972

1.417

0.961

0.376

6

6

5

4

21

HL13

0.978

1.404

0.970

0.355

7

7

7

6

27

HL14

0.980

1.396

0.975

0.344

8

8

8

8

32

HL15

0.988

1.372

0.978

0.320

10

10

9

11

40

HL16

0.991

1.365

0.986

0.325

11

11

11

10

43

HL17

0.985

1.375

0.982

0.334

9

9

10

9

37

HL18

0.970

1.422

0.968

0.349

5

5

6

7

23

HL19

0.967

1.488

0.957

0.360

4

2

4

5

15

HL20

0.945

1.525

0.923

0.384

1

1

1

3

6

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