Role of Feed Forward Neural Networks Coupled with Genetic Algorithm in Capitalizing of Intracellular Alpha-Galactosidase Production by Acinetobacter sp.

Table 2

Experimental design and alpha-galactosidase activity (experimental and predicted) and error values.

Serial; number	Temperature	pH	Agitation	Tryptone	Raffinose	K2HPO4	Alpha-galactosidase activity
	(°C)		(rpm)	(g/100 mL)	(g/100 mL)	(g/100 mL)	Observed	Predicted	Error
1	34	6.5	160	0.5	2	0.75	2.80	2.5	0.28
2	34	6.5	160	0.5	3	1.25	4.70	4.78	−0.08
3	34	6.5	160	1.5	2	1.25	5.10	5.00	0.09
*4	34	6.5	160	1.5	3	0.75	5.40	5.26	0.13
5	34	6.5	180	0.5	2	1.25	5.70	5.79	−0.09
6	34	6.5	180	0.5	3	0.75	5.80	5.75	0.04
7	34	6.5	180	1.5	2	0.75	5.90	6.12	−0.22
8	34	6.5	180	1.5	3	1.25	6.60	6.69	−0.09
9	34	7.5	160	0.5	2	1.25	4.80	4.78	0.01
10	34	7.5	160	0.5	3	0.75	4.60	4.54	0.05
11	34	7.5	160	1.5	2	0.75	5.20	4.96	0.23
12	34	7.5	160	1.5	3	1.25	5.80	5.88	−0.08
*13	34	7.5	180	0.5	2	0.75	3.60	3.45	0.14
14	34	7.5	180	0.5	3	1.25	5.70	5.92	−0.22
15	34	7.5	180	1.5	2	1.25	6.50	6.54	−0.04
*16	34	7.5	180	1.5	3	0.75	5.30	5.30	0
17	38	6.5	160	0.5	2	1.25	5.30	5.26	0.03
18	38	6.5	160	0.5	3	0.75	6.50	6.42	0.07
19	38	6.5	160	1.5	2	0.75	5.80	5.54	0.25
20	38	6.5	160	1.5	3	1.25	4.70	4.81	−0.11
21	38	6.5	180	0.5	2	0.75	5.40	5.28	0.11
22	38	6.5	180	0.5	3	1.25	5.90	6.10	−0.20
*23	38	6.5	180	1.5	2	1.25	5.40	5.42	−0.02
24	38	6.5	180	1.5	3	0.75	5.60	5.58	0.01
25	38	7.5	160	0.5	2	0.75	5.20	5.07	0.12
26	38	7.5	160	0.5	3	1.25	6.50	6.24	0.25
27	38	7.5	160	1.5	2	1.25	5.60	5.61	−0.01
28	38	7.5	160	1.5	3	0.75	5.70	5.57	0.12
*29	38	7.5	180	0.5	2	1.25	4.80	4.90	−0.10
30	38	7.5	180	0.5	3	0.75	4.50	4.56	−0.06
31	38	7.5	180	1.5	2	0.75	4.20	4.08	0.11
*32	38	7.5	180	1.5	3	1.25	3.30	3.55	−0.25
33	32	7	170	1	2.5	1	5.10	5.11	−0.01
34	40	7	170	1	2.5	1	5.10	5.20	−0.10
35	36	6	170	1	2.5	1	5.70	5.74	−0.04
*36	36	8	170	1	2.5	1	5.00	5.07	−0.07
37	36	7	150	1	2.5	1	5.60	6.23	−0.63
38	36	7	190	1	2.5	1	7.10	6.58	0.51
39	36	7	170	0	2.5	1	5.80	5.92	−0.12
40	36	7	170	2	2.5	1	6.50	6.49	0
*41	36	7	170	1	1.5	1	5.50	5.89	−0.39
42	36	7	170	1	3.5	1	7.00	6.72	0.27
43	36	7	170	1	2.5	0.5	5.00	5.65	−0.65
44	36	7	170	1	2.5	1.5	7.10	6.56	0.53
45	36	7	170	1	2.5	1	7.50	7.32	0.17
*46	36	7	170	1	2.5	1	7.20	7.32	−0.12
47	36	7	170	1	2.5	1	7.40	7.32	0.07
48	36	7	170	1	2.5	1	7.30	7.32	−0.02
*49	36	7	170	1	2.5	1	7.40	7.32	0.07
50	36	7	170	1	2.5	1	7.40	7.32	0.07

Data used for testing.