The Application and Research of the GA-BP Neural Network Algorithm in the MBR Membrane Fouling

Table 1

Data of membrane flux, pressure, and so forth collected.

Time (h)	Temperature (°C)	Pressure (MPa)	MLSS of inflow (mg/L)	Total resistance (×10^12m^−1)	Fluxes (L/m^2 h)
1	24	0.016	343.38	2.05	46.4
2	24	0.0168	378.15	2.403	45.5
3	24	0.0175	392.42	2.989	45.3
4	24	0.0243	472.43	3.796	42.2
5	24	0.0268	483.73	3.957	45.1
6	24	0.0291	583.16	4.41	42.2
7	24	0.0325	556.43	5.119	39.7
8	24	0.0362	503.56	6.075	37.3
9	24	0.0351	591.41	7.143	31.4
10	24	0.0385	561.85	8.421	28.9
11	24	0.0269	612.42	7.623	21.7
12	24	0.0226	655.47	9.737	14.5
13	24	0.0198	712.43	11.659	11.2
14	24	0.0193	615.12	12.911	10.5
15	24	0.0187	715.89	12.54	9.4
16	24	0.0157	331.28	1.793	51.8
17	24	0.0164	380.15	2.4175	46.5
18	24	0.0197	391.41	3.197	42.3
19	24	0.0239	442.44	3.673	41.2
20	24	0.0264	493.72	3.961	43.4
21	24	0.0283	587.23	4.438	39.2
22	24	0.0319	568.43	5.233	37.8
23	24	0.0355	583.56	6.019	36.7
24	24	0.0369	585.41	7.013	32.5
25	24	0.0384	571.67	8.025	28.9
26	24	0.0268	601.32	9.043	21.6
27	24	0.0234	654.15	9.941	15.9
28	24	0.0196	698.23	10.892	11.3
29	24	0.0191	695.72	12.136	10.1
30	24	0.0185	709.46	12.759	8.4