Prediction of Compressive Strength of Concrete in Wet-Dry Environment by BP Artificial Neural Networks

Table 2

Statistical analysis of 1078 sets of data.

1078 in total	Specific surface area	Initial strength	FA dosage	Slag dosage	Sodium ions	Magnesium ions	Chloride ions	Sulfate ions	Exposure age	Finial strength
Standard deviation	12.52	17.44	0.13	0.16	0.68	0.15	0.49	0.35	613.39	18.95
Variance	156.80	304.14	0.02	0.03	0.46	0.02	0.24	0.12	376251.72	359.12
Skewness	2.66	1.87	1.57	1.76	1.36	4.62	2.97	1.37	5.83	1.10
Kurtosis	9.17	8.32	2.28	1.75	1.91	20.49	13.85	0.77	37.65	4.55
Minimum	33.33	21.6	0.00	0.00	0.00	0.00	0.00	0.00	2.00	13.46
Maximum	120.00	163	0.60	0.80	4.42	0.83	4.42	1.37	5475.00	168.60