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Evaluation model of economic competitiveness based on multi-layer fuzzy neural network.
- Source :
- Cluster Computing; Mar2019 Supplement 2, Vol. 22, p4405-4412, 8p
- Publication Year :
- 2019
-
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. [ABSTRACT FROM AUTHOR]
- Subjects :
- FUZZY neural networks
ARTIFICIAL neural networks
ECONOMIC models
REGIONAL economics
Subjects
Details
- Language :
- English
- ISSN :
- 13867857
- Volume :
- 22
- Database :
- Complementary Index
- Journal :
- Cluster Computing
- Publication Type :
- Academic Journal
- Accession number :
- 139314758
- Full Text :
- https://doi.org/10.1007/s10586-018-1938-0