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The Scientific World Journal
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2014
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Article
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Tab 3
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Research Article
SOM Neural Network Fault Diagnosis Method of Polymerization Kettle Equipment Optimized by Improved PSO Algorithm
Table 3
Number of winning neurons corresponding to fault class of SOM neural network.
Type
Number of winning neurons
I
55
62
63
64
69
71
72
73
74
79
81
0
0
0
0
0
0
0
II
1
2
3
10
19
22
28
30
38
39
42
46
50
0
0
0
0
0
III
7
8
9
16
17
18
26
27
30
31
40
41
42
43
48
58
59
67
IV
6
23
24
30
31
39
40
41
47
48
56
58
65
66
67
0
0
0