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

Table 7

Intermediate mix proposition of RHA with PPC-test dataset of ANN2.

S. no.	PPC (%)	RHA (%)	Predicted SC	Predicted IST (min)	Predicted FST (min)	Predicted CS-28 days (N/mm^2)
1	99	1	0.398	87.325	199.2	31.344
2	98	2	0.398	87.493	209.19	31.195
3	97	3	0.398	87.856	223.094	31.032
4	95	5	0.398	90.009	269.427	30.644
5	94	6	0.398	92.861	306.139	30.402
6	93	7	0.398	98.624	354.724	30.11
7	92	8	0.398	110.131	416.252	29.738
8	89	11	0.398	209.562	655.175	27.277
9	87	13	0.4	280.187	803.255	24.281
10	86	14	0.402	301.353	859.577	23.078
11	85	15	0.406	317.674	903.067	22.192
12	83	17	0.418	346.656	958.797	21.142
13	82	18	0.426	361.054	975.525	20.839
14	81	19	0.432	375.411	987.68	20.602
15	80	20	0.437	389.161	996.587	20.404