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

Table 5

Clustering of sample data.

Original data						Clustered data
No.						Class no.	No.
1	2.33	109.45	33.08	2.21	9.16	34	1	2.33	109.45	33.08	2.21	9.16
2	2.09	116.23	29.60	2.09	9.21	33	3	2.34	112.36	34.11	2.20	8.98
3	2.34	112.36	34.11	2.20	8.98	32	4	2.23	110.23	31.88	2.16	9.00
4	2.23	110.23	31.88	2.16	9.00	31	5	2.31	113.73	28.92	2.21	8.82
5	2.31	113.73	28.92	2.21	8.82	30	6	2.02	123.83	34.67	2.00	8.76
6	2.02	123.83	34.67	2.00	8.76	29	8	2.06	118.29	33.88	2.04	8.90
7	2.30	119.77	31.52	2.16	8.88	28	9	2.29	104.98	34.88	2.19	8.78
8	2.06	118.29	33.88	2.04	8.90	27	10	2.22	120.41	34.76	2.09	8.885
9	2.29	104.98	34.88	2.19	8.78	26	12	2.12	110.22	31.83	2.12	9.02
10	2.22	120.41	34.76	2.09	8.89	25	14	2.01	110.69	27.31	2.09	8.79
11	2.11	110.56	32.25	2.10	8.69	24	15	2.14	121.13	28.92	2.09	9.00
12	2.12	110.22	31.83	2.12	9.02	23	16	2.08	108.58	28.95	2.12	8.92
13	2.33	108.39	32.58	2.22	8.82	22	17	2.28	126.47	29.99	2.12	8.73
14	2.01	110.69	27.31	2.09	8.79	21	18	2.31	107.55	30.03	2.22	9.14
15	2.14	121.13	28.92	2.09	9.00	20	20	2.35	134.76	29.51	2.11	9.155
16	2.08	108.58	28.95	2.12	8.92	19	19	2.08	117.37	32.29	2.06	8.67
17	2.28	126.47	29.99	2.12	8.73	19	21	2.19	111.98	29.73	2.15	8.93
18	2.31	107.55	30.03	2.22	9.14	18	22	2.19	131.19	25.99	2.08	9.12
19	2.08	117.37	32.29	2.06	8.67	17	24	2.17	130.58	34.32	2.02	8.79
20	2.35	134.76	29.51	2.11	9.16	16	25	2.30	108.94	26.34	2.23	9.17
21	2.19	111.98	29.73	2.15	8.93	15	11	2.11	110.56	32.25	2.10	8.69
22	2.19	131.19	25.99	2.08	9.12	15	26	2.25	127.77	26.50	2.21	8.93
23	2.04	102.26	31.40	2.11	8.76	14	23	2.04	102.26	31.40	2.11	8.76
24	2.17	130.58	34.32	2.02	8.79	14	27	2.22	105.80	26.64	2.06	9.20
25	2.30	108.94	26.34	2.23	9.17	13	28	2.30	108.94	26.34	2.23	9.17
26	2.25	127.77	26.50	2.21	8.93	12	29	2.38	121.66	34.84	2.17	9.23
27	2.22	105.80	26.64	2.06	9.20	11	13	2.33	108.39	32.58	2.22	8.82
28	2.30	108.94	26.34	2.23	9.17	11	7	2.30	119.77	31.52	2.16	8.88
29	2.38	121.66	34.84	2.17	9.23	11	2	2.09	116.23	29.60	2.09	9.21
30	2.19	112.28	26.73	2.17	8.78	11	30	2.19	112.28	26.73	2.17	8.78
31	2.21	I11.16	29.09	2.17	8.73	10	31	2.21	I11.16	29.09	2.17	8.73
32	2.23	124.01	27.12	2.13	9.02	9	32	2.23	124.01	27.12	2.13	9.02
33	2.29	111.37	35.20	2.17	8.82	8	33	2.29	111.37	35.20	2.17	8.82
34	2.14	126.18	34.84	2.03	8.86	7	34	2.14	126.18	34.84	2.03	8.86
35	2.09	133.95	33.77	1.98	8.76	6	35	2.09	133.95	33.77	1.98	8.76
36	2.33	101.93	29.99	2.25	9.05	5	36	2.33	101.93	29.99	2.25	9.05
37	2.03	131.33	35.30	1.96	8.93	4	37	2.03	131.33	35.30	1.96	8.93
38	2.1734	127.40	34.72	2.04	8.93	3	38	2.17	127.40	34.72	2.04	8.93
39	2.25	108.68	27.32	2.20	8.94	2	39	2.25	108.68	27.32	2.20	8.94
40	2.28	102.58	30.98	2.21	8.70	1	40	2.28	102.58	30.98	2.21	8.70