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.

CityCity level 1City level 2City level 3City level 4City level 5City level 6City level 7

Guangzhou (GU)326.836185.66651.164099.962255.152628.762529.47
Shenzhen (SZ)7.667742.93579.783361.14640.853501.522564.45
Shantou (ST)86.74977.2896.55441.4852.4360.9292.99
Foushan (FS)126.475675.16176.66743.22370.42441.77728.98
Shaoguan (ZK)141.63460.33578.68146.1394.1560.6865.67
Heyuan (HU)97.05434.6936.86158.0632.5353.8567.36
Meizhou (MJ)178.47387.9668.49107.7335.4752.5262.27
Huizhou (HJ)141.522624.45112.45511.4389.74521.34313.77
Shanwei (SW)128.07420.2726.78923.1128.9830.6531.75
Dongguan (TG)27.093840.3985.8095.36315.95501.32529.24