基于SOM网络和时间序列分析的湘潭市智慧城市建设评价

发布时间：2018-06-10 16:50

本文选题：智慧城市 + 层次分析　；参考：《湘潭大学》2017年硕士论文

【摘要】：城市的智能化建设是判断一座城市是否为文明和谐城市的重要指标。湘潭市作为国家长株潭城市群“两型社会”综合配套改革试验区中心城市,积极投身在建设智慧城市的城市群中。然而,对于正在建设中的城市而言,智慧城市建设指标情况很难利用直观数据进行分析。本文从定量分析的角度,在《中国城市统计年鉴》中找到与智慧城市建设有关的指标,利用MATLAB和SPSS统计软件相结合的方式,在基础设施、经济业务、人力资本、公共服务、环境五个大方面,家庭互联网用户、家庭手机用户、第三产业占GDP比重、人均地区生产总值、科学技术支出、人均城市道路面积、教育支出、第三产业就业率、每百人公共图书馆藏书、居民生活用水、人均绿地面积和居民生活用电十二个小方面的具体指标情况,通过层次分析法确定指标权重,利用自组织映射(SOM)神经网络分析和时间序列回归预测分析相结合的方法对指标数据进行分析处理,对湘潭市目前智慧城市建设情况进行综合评价。通过与我国目前智慧城市建设名列前茅的发达城市进行比较,找到湘潭市在基础设施和公共服务方面与发达城市之间存在较大的差距,指出了湘潭市在今后的智慧城市建设中需要着重提高的方方面面,为湘潭市未来智慧城市建设提供借鉴作用。
[Abstract]:The intelligent construction of a city is an important index to judge whether a city is a civilized and harmonious city. Xiangtan city, as the central city of the "two-oriented society" comprehensive reform test area of the national Chang-Zhu-Tan urban agglomeration, is actively engaged in the urban agglomeration of the construction of intelligent city. However, for the cities under construction, it is difficult to use intuitive data to analyze the situation of intelligent cities. From the angle of quantitative analysis, this paper finds the indexes related to the construction of intelligent cities in the Yearbook of Chinese Urban Statistics, and makes use of MATLAB and SPSS statistical software to combine the methods in infrastructure, economy, business, human capital, public service, etc. Five major aspects of the environment: household Internet users, family mobile phone users, tertiary industry as a proportion of GDP, per capita regional GDP, science and technology expenditure, per capita urban road area, education expenditure, tertiary industry employment rate, The specific indicators of 12 small aspects of the collection of books in public libraries for every 100 people, the consumption of water for residents' lives, the area of green space per capita and the consumption of electricity for residents' daily life are determined by the Analytic hierarchy process (AHP). The index data are analyzed and processed by using the method of self-organizing mapping (SOM) neural network analysis and time series regression prediction analysis, and the comprehensive evaluation of the construction of the intelligent city in Xiangtan is carried out. By comparing with the developed cities which are among the leading cities in our country at present, it is found that there is a big gap between Xiangtan City and the developed cities in infrastructure and public services. This paper points out that Xiangtan should focus on improving all aspects of the construction of the intelligent city in the future, and provide reference for the future construction of the intelligent city of Xiangtan.
【学位授予单位】：湘潭大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F299.27;F49;O211.61

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