Research on smart city development evaluation based on AHP and BP neural networks

Rong Rong; Hang Yang; Shi Hu; Feng Wang

doi:10.1117/12.3034841

7 August 2024 Research on smart city development evaluation based on AHP and BP neural networks

Rong Rong, Hang Yang, Shi Hu, Feng Wang

Proceedings Volume 13224, 4th International Conference on Internet of Things and Smart City (IoTSC 2024); 132242Z (2024) https://doi.org/10.1117/12.3034841
Event: 4th International Conference on Internet of Things and Smart City, 2024, Hangzhou, China

Abstract

In order to improve the accuracy of the evaluation of the development level of smart city, an evaluation model based on the hierarchical analysis method and BP neural network is proposed. Firstly, the evaluation index of smart city development is extracted and analyzed by hierarchical analysis method, forming a scientific evaluation index system. Then, the evaluation index data is obtained by using the index score as the input vector of BP neural network and the development level as the output vector, thus establishing the evaluation model of AHP-BP. This has certain reference value for the development evaluation of other smart cities.

Citation Download Citation

Rong Rong, Hang Yang, Shi Hu, and Feng Wang "Research on smart city development evaluation based on AHP and BP neural networks", Proc. SPIE 13224, 4th International Conference on Internet of Things and Smart City (IoTSC 2024), 132242Z (7 August 2024); https://doi.org/10.1117/12.3034841

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