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

Table 2

Training dataset for ANN2-RHA replacement.

PPC (%)	RHA (%)	SC	IST (min)	FST (min)	CS-28 days (N/mm^2)
96	4	0.39	93	234	31.56
96	4	0.38	95	239	31.02
96	4	0.42	86	247	30.67
96	4	0.4	88	244	31.97
96	4	0.39	87	235	30.80
92	8	0.42	113	410	30.35
92	8	0.39	110	415	30.21
92	8	0.39	102	412	29.67
92	8	0.42	105	419	31.00
92	8	0.42	103	406	29.36
88	12	0.4	253	739	25.87
88	12	0.37	257	729	26.94
88	12	0.41	254	730	26.21
88	12	0.41	248	731	25.64
88	12	0.39	243	729	26.83
84	16	0.39	328	934	21.30
84	16	0.42	335	933	22.30
84	16	0.41	339	924	21.60
84	16	0.39	324	941	20.60
84	16	0.42	320	928	21.80
80	20	0.43	395	993	21.65
80	20	0.45	396	987	21.13
80	20	0.44	385	989	20.34
80	20	0.46	386	994	20.81
80	20	0.41	393	997	21.23