基于智能混合算法的区域经济差异分析与发展策略

Meng Du
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引用次数: 0

摘要

本文提出了一种区域经济发展差异分析的智能混合算法:首先,将主成分距离加权、遗传算法和模拟退火算法有机结合,对FCM算法进行优化,并利用优化后的FCM算法对各子区域经济发展水平进行分类;本文对区域经济发展差异进行了研究和分析。本文以长三角城市群经济发展差异为例,表明该算法可以有效地对长三角城市群经济发展差异进行综合分析,很好地反映了各城市经济发展的特点,是一种改进的、可行的区域经济发展水平差异分析方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Differences Analysis and Development Strategies of Regional Economies Based on Intelligent Hybrid Algorithm
In this paper, an intelligent hybrid algorithm for regional economic development difference analysis is proposed: firstly, the FCM algorithm is optimized by organically integrating the principal component distance weighting, genetic algorithm and simulated annealing algorithm, and the optimized FCM algorithm is used to classify the economic development level of each sub region. This paper studies and analyzes the differences in regional economic development. Taking the economic development difference of the Yangtze River Delta urban agglomeration as an example, this paper shows that the algorithm can effectively carry out a comprehensive analysis of the economic development difference of the Yangtze River Delta, well reflects the characteristics of the economic development of each city, and is an improved and feasible analysis method of regional economic development level difference.
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