Table 1 Descriptive statistics of the adopted dataset in this study.

From: Developing a brain inspired multilobar neural networks architecture for rapidly and accurately estimating concrete compressive strength

 

Cement (kg/m3)

Blast furnace slag (kg/m3)

Fly ash (kg/m3)

Water (kg/m3)

Superplasticizer (kg/m3)

Coarse aggregate (kg/m3)

Fine aggregate (kg/m3)

Age (days)

Compressive strength (MPa)

Count

1005

1005

1005

1005

1005

1005

1005

1005

1005

Mean

278.63

72.04

55.54

182.08

6.03

974.38

772.69

45.86

35.25

Standard deviation

104.34

86.17

64.21

21.34

5.92

77.58

80.34

63.73

16.28

Minimum

102

0

0

121.8

0

801

594

1

2.33

First quartile

190.7

0

0

166.6

0

932

724.3

7

23.52

Median

265

20

0

185.7

6.1

968

780

28

33.8

Third quartile

349

142.5

118.3

192.9

10

1031

822.2

56

44.87

Maximum

540

359.4

200.1

247

32.2

1145

992.6

365

82.6