Table 2.

Experimental data of training and testing of artificial neural network designed using RSM

Type of medium	FBS (%)	Cultivation time (day)	Temperature (°C)	Experimental McAb (µg/ml)	Predicted McAb (µg/ml)
Training data
DMEM	5	3	33	673.97	673.88
	7	5	33	719.24	719.34
	7	2	33	638.02	638.08
	20	3	33	821.39	821.37
	17	2	33	509.83	509.88
	17	5	33	1220	1219.8
	5	3	37	529.14	529.14
	10	4	37	603.78	607.98
	10	4	37	610	605.77
	10	4	33	1066.7	1033.8
	10	4	33	1006	1039.5
	17	5	37	600	600.04
	10	6	37	600	599.98
	10	1	33	411.87	411.78
	20	3	37	529.14	529.15
	10	6	33	1097.2	1097.1
Testing data
DMEM	10	4	37	610	608
	10	4	33	1050	1034
	7	2	37	504.31	545.62
	7	5	37	569.24	585.93
	10	1	33	400	411.72
Training data
RPMI 1640	5	3	33	354.06	354.06
	7	5	33	600	600
	7	2	33	446.9	446.90
	20	3	33	125.29	125.28
	17	2	33	194.82	194.81
	17	5	33	568.18	568.17
	5	3	37	289.52	289.52
	10	4	37	547.45	547.45
	10	4	37	520	520
	10	4	33	1100	1100
	17	5	37	120	120
	10	6	37	100	100
	10	1	37	332.01	332.00
Testing data
RPMI 1640	10	4	37	520	533.73
	10	4	33	1002	1100
	7	2	37	451.424	504.14
	7	5	37	110	213.54
	10	1	33	153.76	243.23