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A machine learning model of national competitiveness with regional statistics of public expenditure

  • Published:2021-06-16 Issue:4 Volume:27 Page:451-468
  • ISSN:1381-298X
  • Container-title:Computational and Mathematical Organization Theory
  • language:en
  • Short-container-title:Comput Math Organ Theory

Author:

Zaragoza-Ibarra Artemisa,Alfaro-Calderón Gerardo G.,Alfaro-García Víctor G.ORCID,Ornelas-Tellez Fernando,Gómez-Monge Rodrigo

Funder

Consejo Nacional de Ciencia y Tecnología

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Mathematics,Modelling and Simulation,General Computer Science,General Decision Sciences

Reference70 articles.

1. Alfaro-García VG, Gil-Lafuente AM, Alfaro Calderón GG (2017) A fuzzy approach to a municipality grouping model towards creation of synergies. Comput Math Organ Theory 23:391–408

2. Alpaydin E (2014) Introduction to machine learning. MIT Press, Cambridge

3. Anderson D, Mcneill G (1992) Artificial neural networks technology. Rome Laboratory, New York

4. Annoni P, Dijkstra L (2019) The EU regional competitiveness index 2019. Publications Office of the European Union, Luxembourg

5. Auzina-Emsina A (2014) Labour productivity, economic growth and global competitiveness in post-crisis period. Procedia Soc Behav Sci 156:317–321

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