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Evaluation model of economic competitiveness based on multi-layer fuzzy neural network

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Abstract

According to related theories of regional economics, eight indexes closely related to development level county economy of certain city in Sichuan province were chosen. Evaluation model of county economy competitiveness in Sichuan province based on multi-layer fuzzy neural network was proposed in the Thesis. Firstly, evaluation for in county economic competitiveness was analyzed, and evaluation index system for its competitiveness was given. Model index was provided with pre-treatment by adopting analysis method for normalization and factor; secondly, one four-layer fuzzy neural network model was used, and hierarchical fuzzy neural network model for economic competitiveness evaluation of county region was proposed. It included input layer, fuzzy layer, fuzzy reasoning layer and output layer, and composition and computing method for fuzzy function block and neural network module were analyzed; finally, through empirical analysis, effectiveness for algorithm was verified.

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Acknowledgements

The Project of the southwestern minorities research center of the State Ethnic Affairs Commission “A Study of Promoting the County-based Economy Self-development Ability in Ethnic Areas of Sichuan Province” (XNYJY1607); The program of Key research base of social science of Sichuan province- the County-based Economic Development Research Center in Sichuan Province “A Study of Promoting the County-based Economy Self-development Abality in Sichuan Province” (xy2017008).

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Authors and Affiliations

  1. School of Management, University of Sichuan Science & Engineering, Zigong, 643000, China

    Wang Zhongfu

  2. School of Economics, University of Sichuan Science & Engineering, Zigong, 643000, China

    Feng Yanhong

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  1. Wang Zhongfu
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Zhongfu, W., Yanhong, F. Evaluation model of economic competitiveness based on multi-layer fuzzy neural network. Cluster Comput 22 (Suppl 2), 4405–4412 (2019). https://doi.org/10.1007/s10586-018-1938-0

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