Research On Chinese Urban Circle Feature Measurement And Its Cooperative Relationship With Industrial Development Based On Machine Learning Algorithm

In recent years,China's industrial structure reform has entered a stage of comprehensive deepening,and the inspection of industrial structure has gradually increased from the perspective of cities to higher levels such as urban agglomerations and regional economic belts.Related research is also increasingly needed to adapt to this new change.In order to stand out in the context of the "new normal of China's economy",China's cities and regions face such several urgent problems:how to locate China's cities and urban clusters at which stage of development,how to study differently.The development path and development direction of the stage.The level of industrial development of a city is at what level in the country and what kind of development trend.With the perspective widened to China's urban agglomerations,how similar industry analysis is carried out,and how to coordinate development.In order to solve this problem,this paper develops a new framework for studying urban development problems and industrial synergies in China by using machine learning algorithms based on the previous achievements.Applying this framework,this paper quantifies the urban circle of China,and then analyzes the urban industrial development from the perspective of hierarchical cities and urban circles.The results show that China's policy of comprehensively deepening reforms since 2012 has produced great results.From the overall average level,the industrial balance has a very large relationship with the city level,and it shows a three-level differentiation very regularly.The balance of urban industry has a lot to do with the distance between the surrounding cities.In terms of the urban circle,the more developed the urban circle,the lower the industrial balance degree.The coordinated development of a wider range of cities,that is,the coordinated development between urban circles is accelerating.