| Title |
Research on the development level evaluation of smart city in China |
| ID_Doc |
45254 |
| Authors |
Yang, ZX; Zhao, YJ |
| Title |
Research on the development level evaluation of smart city in China |
| Year |
2023 |
| Published |
Annals Of Operations Research, 326, Suppl 1 |
| DOI |
10.1007/s10479-021-04279-7 |
| Abstract |
Smart city is the product of social development and information technology progress. Smart city evaluation research can provide basis for relevant departments to analyze the development of smart cities around the world. Through neural network learning and training, the paper constructs an intelligent neural network model for evaluating the development level of smart city based on GRA-BPNN model. Based on various factors, this paper selects 15 domestic cities as samples for empirical analysis. By comparing the evaluation results of different methods, this paper further demonstrates and confirms the effectiveness and rationality of the evaluation model based on grey correlation theory and BP neural network to evaluate the development potential of smart city. |
| Author Keywords |
Smart city; Development level; BP neural network; Evaluation |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000701352800002 |
| WoS Category |
Operations Research & Management Science |
| Research Area |
Operations Research & Management Science |
| PDF |
|