The Development of New-Type Urbanization Based on ACO–SVM in JZS Province View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2019

AUTHORS

Chenli , Wangchenxuan

ABSTRACT

In this paper, authors have applied the ACO–SVM for the development of new-type urbanization in Jiangsu–Zhejiang and Shandong (i.e., JZS) Province which researchers believed to have embedded with many socially and practically significant factors. Based on the support vector machine optimized by ant colony algorithm (i.e., ACO–SVM), qualitative analysis should be combined with quantitative analysis, to assess the level of urbanization JZS Province in China. The result of assessing the status of urbanization JZS Province shows the method of ACO–SVM algorithm disappeared fast, and the precision was high. According to the empirical research, Kunshan City, Zhangjiagang, and Jiangyin, respectively, ranked the first, second and third. Kunshan City is the best quality to absolute advantages to become the current development of urbanization of county. As a new type of urbanization of Shandong Province pilot in most provinces, actively promote the development of new type of urbanization, compared with county in Jiangsu and Zhejiang, Shandong Zhangqiu, Laizhou City, Qufu rank in 14, 13, and 15. More... »

PAGES

461-468

Book

TITLE

Recent Developments in Intelligent Computing, Communication and Devices

ISBN

978-981-10-8943-5
978-981-10-8944-2

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-981-10-8944-2_53

DOI

http://dx.doi.org/10.1007/978-981-10-8944-2_53

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1106285892


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