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Computational Intelligence and Neuroscience
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Computational Intelligence and Neuroscience
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2022
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Article
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Tab 1
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Research Article
Application of the BP Neural Network Model in the Coordinated Development of Tourism Economic Networks in the Guangdong-Hong Kong-Macao Greater Bay Area
Table 1
Result analysis of the tourism economic complexity of the network at the city level.
City
City level 1
City level 2
City level 3
City level 4
City level 5
City level 6
City level 7
Guangzhou (GU)
326.83
6185.66
651.16
4099.96
2255.15
2628.76
2529.47
Shenzhen (SZ)
7.66
7742.93
579.78
3361.14
640.85
3501.52
2564.45
Shantou (ST)
86.74
977.28
96.55
441.48
52.43
60.92
92.99
Foushan (FS)
126.47
5675.16
176.66
743.22
370.42
441.77
728.98
Shaoguan (ZK)
141.63
460.335
78.68
146.13
94.15
60.68
65.67
Heyuan (HU)
97.05
434.69
36.86
158.06
32.53
53.85
67.36
Meizhou (MJ)
178.47
387.96
68.49
107.73
35.47
52.52
62.27
Huizhou (HJ)
141.52
2624.45
112.45
511.43
89.74
521.34
313.77
Shanwei (SW)
128.07
420.27
26.78
923.11
28.98
30.65
31.75
Dongguan (TG)
27.09
3840.39
85.80
95.36
315.95
501.32
529.24