This research is partially supported by the National Natural Science Foundation of China (No. 71503099 , 71871102 ), Hubei Province Natural Science Fund of China (No. 2015CFB396 ), and Hubei Chenguang Talented Youth Development Foundation .
机构署名：
本校为第一且通讯机构
院系归属：
公共管理学院
信息管理学院
摘要：
Dramatically increased societal demands on the municipal services that contradict environmental protection and information processing capability oriented to resource utilization efficiency suffer from opposing simultaneous requirements. The smart city provides better solutions for urban areas which are increasing at an unprecedented speed. This paper presents an empirical study carried out to assess and analyze the development pattern of 35 smart cities in China using the principal component analysis (PCA) and back propagation (BP) neural network techniques. The proposed PCA-BP neural network ...
