TY - GEN
T1 - A BPNN-Based Method for Regional Competitiveness
T2 - 2nd World Conference on Intelligent and 3D Technologies, WCI3DT 2023
AU - Wang, Mini Han
AU - Li, Pengsheng
AU - Wang, Fengling
AU - Zhou, Xiaoshu
AU - Wu, Qing
AU - Chen, Guoqiang
AU - Lin, Zhiyuan
AU - Zeng, Peijin
AU - Xiao, Qide
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - Guangdong-Hong Kong-Macau Greater Bay Area (GBA) reveals a significant opportunity for self-developing and regional competition since China’s government regards it as one of the most significant developing strategies. However, cities in this area are enhancing comprehensive competitiveness at different levels. This paper proposed a competitiveness evaluation model based on the entropy approach and built a competitiveness measuring and predictive model based on the BPNN machine learning algorithm. The research results illustrate that comprehensive competitiveness is approximately increasing over time, which shows a trend of eastward development. Hong Kong, Guangzhou, Shenzhen, Macau, and Dongguan are the top-5 cities during the three years. On the contrary, Zhongshan is the least competitive city, however, Zhongshan‘s comprehensive competitiveness emerges at the highest increasing rate.
AB - Guangdong-Hong Kong-Macau Greater Bay Area (GBA) reveals a significant opportunity for self-developing and regional competition since China’s government regards it as one of the most significant developing strategies. However, cities in this area are enhancing comprehensive competitiveness at different levels. This paper proposed a competitiveness evaluation model based on the entropy approach and built a competitiveness measuring and predictive model based on the BPNN machine learning algorithm. The research results illustrate that comprehensive competitiveness is approximately increasing over time, which shows a trend of eastward development. Hong Kong, Guangzhou, Shenzhen, Macau, and Dongguan are the top-5 cities during the three years. On the contrary, Zhongshan is the least competitive city, however, Zhongshan‘s comprehensive competitiveness emerges at the highest increasing rate.
KW - BPNN
KW - Competitiveness
KW - Guangdong-Hong Kong-Macau Greater Bay Area (GBA)
KW - Machine learning
UR - https://www.scopus.com/pages/publications/85203593634
U2 - 10.1007/978-981-97-2144-3_12
DO - 10.1007/978-981-97-2144-3_12
M3 - 会议稿件
AN - SCOPUS:85203593634
SN - 9789819721436
T3 - Smart Innovation, Systems and Technologies
SP - 153
EP - 163
BT - AI Methods and Applications in 3D Technologies - Proceedings of 3DWCAI 2023
A2 - Kountchev (Deceased), Roumen
A2 - Patnaik, Srikanta
A2 - Wang, Wenfeng
A2 - Kountcheva, Roumiana
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 26 May 2023 through 28 May 2023
ER -