Data-Driven Optimal Control for Pulp Washing Process Based on Neural Network

Table 6

Data distribution after preprocessing.

Class no.						Class no.
1	2.28	102.58	30.98	2.21	8.70	18	2.19	131.19	25.99	2.08	9.12
2	2.25	108.68	27.32	2.20	8.94	19	2.14	114.68	31.01	2.12	8.8
3	2.17	127.40	34.72	2.04	8.93	20	2.35	134.76	29.51	2.11	9.155
4	2.03	131.33	35.30	1.96	8.93	21	2.31	107.55	30.03	2.22	9.14
5	2.33	101.93	29.99	2.25	9.05	22	2.28	126.47	29.99	2.12	8.73
6	2.09	133.95	33.77	1.98	8.76	23	2.08	108.58	28.95	2.12	8.92
7	2.14	126.18	34.84	2.03	8.86	24	2.14	121.13	28.92	2.09	9
8	2.29	111.37	35.20	2.17	8.82	25	2.01	110.69	27.31	2.09	8.79
9	2.23	124.01	27.12	2.13	9.02	26	2.12	110.22	31.83	2.12	9.02
10	2.21	I11.16	29.09	2.17	8.73	27	2.22	120.41	34.76	2.09	8.885
11	2.23	114.17	30.11	2.16	8.92	28	2.29	104.98	34.88	2.19	8.78
12	2.38	121.66	34.84	2.17	9.23	29	2.06	118.29	33.88	2.04	8.9
13	2.30	108.94	26.34	2.23	9.17	30	2.02	123.83	34.67	2.00	8.76
14	2.13	104.03	29.02	2.09	8.98	31	2.31	113.73	28.92	2.21	8.82
15	2.18	119.17	29.38	2.16	8.81	32	2.23	110.23	31.88	2.16	9.00
16	2.3	108.94	26.34	2.23	9.17	33	2.34	112.36	34.11	2.2	8.98
17	2.17	130.58	34.32	2.02	8.79	34	2.33	109.45	33.08	2.21	9.16