Difference Analysis of Regional Economic Development Based on the SOM Neural Network with the Hybrid Genetic Algorithm
Since the reform and opening up, China’s regional economy has developed rapidly. However, due to different starting points of economic development caused by the traditional distribution of productive forces and the differences in regions, resources, technologies, and policies, the level of economic...
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Published in | Computational intelligence and neuroscience Vol. 2021; no. 1; p. 6734345 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
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Hindawi
2021
Hindawi Limited |
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Abstract | Since the reform and opening up, China’s regional economy has developed rapidly. However, due to different starting points of economic development caused by the traditional distribution of productive forces and the differences in regions, resources, technologies, and policies, the level of economic development in different regions is uneven. Clustering analysis is a data mining method that clusters or classifies entities according to their characteristics and then discovers the whole spatial distribution law of datasets and typical patterns. It is of great significance to classify, compare, and study the economic development level of different regions in order to formulate the regional economic development strategy. In this paper, a self-organizing feature map (SOM) neural network with the hybrid genetic algorithm is used to cluster the differences of regional economic development, the clustering results are evaluated, and the empirical results are good. From this, some meaningful conclusions can be drawn, which can provide reference for the decision-making of coordinating regional economic development. |
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AbstractList | Since the reform and opening up, China's regional economy has developed rapidly. However, due to different starting points of economic development caused by the traditional distribution of productive forces and the differences in regions, resources, technologies, and policies, the level of economic development in different regions is uneven. Clustering analysis is a data mining method that clusters or classifies entities according to their characteristics and then discovers the whole spatial distribution law of datasets and typical patterns. It is of great significance to classify, compare, and study the economic development level of different regions in order to formulate the regional economic development strategy. In this paper, a self-organizing feature map (SOM) neural network with the hybrid genetic algorithm is used to cluster the differences of regional economic development, the clustering results are evaluated, and the empirical results are good. From this, some meaningful conclusions can be drawn, which can provide reference for the decision-making of coordinating regional economic development. |
Author | Cai, Ying Wang, Xu Xiong, LiRan |
AuthorAffiliation | 1 Faculty of Geography, Yunnan Normal University, Kunming, Yunnan 650500, China 2 School of Intelligent Science and Engineering, Yunnan Technology and Business University, Kunming, Yunnan 651700, China |
AuthorAffiliation_xml | – name: 1 Faculty of Geography, Yunnan Normal University, Kunming, Yunnan 650500, China – name: 2 School of Intelligent Science and Engineering, Yunnan Technology and Business University, Kunming, Yunnan 651700, China |
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BackLink | https://www.ncbi.nlm.nih.gov/pubmed/34512744$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1177/1687814015624832 10.1016/j.enpol.2018.05.025 10.26794/2304-022x-2018-8-1-62-71 10.1016/j.energy.2020.119232 10.13328/j.cnki.jos.005474 10.2308/isys-18-002 10.1016/j.artmed.2017.05.005 10.1016/j.ecolind.2015.06.018 10.1016/j.jsg.2018.07.002 10.1007/s11831-021-09562-1 10.1109/jiot.2021.3086034 10.1007/s00521-015-1859-2 10.1007/s10708-014-9608-0 10.1109/tii.2018.2822680 |
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Copyright | Copyright © 2021 Ying Cai et al. Copyright © 2021 Ying Cai et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 Copyright © 2021 Ying Cai et al. 2021 |
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Snippet | Since the reform and opening up, China’s regional economy has developed rapidly. However, due to different starting points of economic development caused by... Since the reform and opening up, China's regional economy has developed rapidly. However, due to different starting points of economic development caused by... |
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StartPage | 6734345 |
SubjectTerms | Algorithms Brain research China Cluster Analysis Clustering Data Mining Decision making Economic analysis Economic Development Economic growth Economic structure Empirical analysis Feature maps Genetic algorithms Nervous system Neural networks Neural Networks, Computer Regional development Regions Self organizing maps Spatial distribution |
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Title | Difference Analysis of Regional Economic Development Based on the SOM Neural Network with the Hybrid Genetic Algorithm |
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