Optimization of regional economic industrial structure based on fuzzy k-means algorithm

被引：0

作者：

Wang, Yin ^{[1
]}

机构：

[1] Luoyang Inst Sci & Technol Econ & Management, Luoyang 471000, Henan, Peoples R China

来源：

MATHEMATICS AND FINANCIAL ECONOMICS | 2023年

关键词：

VGG19; model; High precision and advanced manufacturing industry; Regional economy; Data mining; Efficiency evaluation; Fuzzy k-means algorithm; AGRICULTURE;

D O I：

10.1007/s11579-023-00340-0

中图分类号：

F8 [财政、金融];

学科分类号：

0202 ;

摘要：

China's current high-precision advanced manufacturing regional economy has some problems in industrial structure, such as low efficiency and poor reliability. Based on this, this paper studies the spatial spillover effect of high-precision advanced manufacturing agglomeration on regional economic industrial structure based on VGG19 model. Firstly, the SBM data analysis model based on fuzzy K-means algorithm is established to store and analyze the high-precision advanced manufacturing regional economic data. Then, the regional economic data over the years are compared and analyzed and fed back to the VGG19 model for error analysis. Finally, relevant experiments are designed to verify the model. The results show that the model can analyze multi-layer data of high-precision and advanced manufacturing regional economy, and greatly improve the efficiency and objectivity of evaluation. This paper studies the evaluation method of spatial spillover effect of regional economic industrial structure of high-precision advanced manufacturing industry based on VGG19 model. Compared with the traditional high-precision advanced manufacturing research methods, it has the advantages of good reliability, high efficiency and high efficiency.

引用

页数：14

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