Using an Artificial Neural Network to Validate and Predict the Physical Properties of Self-Compacting Concrete

Table 3

Training dataset for ANN3 (BA + RHA) replacement.

PPC (%)	BA (%)	RHA (%)	SC	IST (min)	FST (min)	CS-28 days (N/mm^2)
96	2	2	0.38	88	251	29.87
96	2	2	0.4	95	258	28.37
96	2	2	0.41	97	240	28.89
96	2	2	0.41	89	238	30.21
96	2	2	0.38	98	240	29.84
92	4	4	0.4	106	421	28.97
92	4	4	0.38	98	417	28.29
92	4	4	0.39	96	406	27.64
92	4	4	0.38	105	410	29.70
92	4	4	0.39	104	420	27.97
88	6	6	0.38	257	741	26.34
88	6	6	0.37	259	732	24.32
88	6	6	0.37	257	740	25.75
88	6	6	0.41	260	729	24.86
88	6	6	0.38	242	731	24.98
84	8	8	0.42	338	985	22.59
84	8	8	0.39	339	975	21.79
84	8	8	0.38	340	954	22.38
84	8	8	0.43	320	953	21.52
84	8	8	0.39	338	958	20.24
80	10	10	0.42	385	1125	21.02
80	10	10	0.44	389	1117	20.07
80	10	10	0.43	396	1142	19.95
80	10	10	0.41	394	1135	19.04
80	10	10	0.43	388	1131	21.00