Fault Identification and Analysis of Communication Network Based on Deep Learning

Table 4

Equipment port failure.

Port number	Accuracy (%)
1	98.81
2	99.547
3	97.684
4	98.734
5	97.611
6	98.667
7	98.876
8	100
9	97.824
10	100
11	100
12	100
13	99.876
14	99.845
15	97.653
16	97.63
17	98.663
18	97.834
19	99.546
20	98.901
21	100
22	98.734
23	100
24	100
25	100
26	97.789
27	99.436
28	97.453
29	97.845
30	99.765
31	97.463
32	99.676
33	98.701
34	97.563
35	97.667
36	97.925
37	100
38	100
39	98.645
40	98.463
41	100
42	98.245
43	100
44	97.753
45	100
46	100
47	100
48	100
49	100
50	100
51	98.887
52	97.782
53	99.453
54	98.837
55	99.78
56	99.667
57	98.567
58	98.531
59	98.788
60	97.564
61	98.75
62	100
63	97.328
64	100
65	100
66	98.628
67	97.564
68	100
69	99.653
70	100
71	100
72	100
73	100
74	100
75	100
76	97.738
77	98.901
78	97.678
79	99.474
80	97.757
81	98.649
82	99.634
83	97.257
84	99.731
85	97.784
86	99.837
87	100
88	98.554
89	100
90	100
91	99.63
92	100