Measuring the Financial Performance of MSMEs Through Artificial Neural Networks

Author:

Silva Jesus,Hernandez Lissette,Hernandez Ana Emilia,Varela Noel,Palma Hugo Hernández,Bilbao Osman Redondo,Castro Nadia Leon,Pulido Ronald Prieto,Guliany Jesús García

Publisher

Springer Singapore

Reference15 articles.

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2. Alsaaty, F., Zenebe, A., Sengupta, S.: The Influence of Some Macroeconomic Factors on the Growth of Micro Firms in the United States. Available at SSRN: https://ssrn.com/abstract=2775339 or http://dx.doi.org/10.2139/ssrn.2775339 . Accessed on 12 June 2017

3. Bechara, J.E.A., Cruz, J.C.T., Ceballos, H.V.: Predicciones de modelos econométricos y redes neuronales: el caso de la acción de SURAMINV. Semestre Económico Universidad de Medellín, 12(25), 95–109 (2009). Available from http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S012063462009000300007&lng=en&nrm=i-so . Accessed on 07 Aug 2017

4. Bizarrón, M.E.B., Palacios, E.M.C., Bobadilla, L.I.Z., García, N.L.A.: El desarrollo de la Mipyme y la vinculación universitaria en Puerto Vallarta, Jalisco. Eur. Sci. J. ESJ 10(19) (2014). Available at http://www.eujournal.org/index.php/esj/article/view/3788/3604 . Accessed on 18 June 2017

5. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules in large databases. In: 1994. Proceedings of the 20th International Conference on Very Large Data Bases, VLDB, pp. 487–499 (1994)

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