Artificial neural networks applied to analysis of professional profiles

Authors

  • Danilo Santos
  • Marco Aurélio Bonaldo
  • Sidnei Alves de Araújo UNINOVE, São Paulo
  • Valdir Bueno

DOI:

https://doi.org/10.5585/exacta.v2i0.547

Keywords:

Kohonen. Perfil Profissional. Redes Neurais.

Abstract

This work is aimed at exploring the utilization of artificial self organizing neural networks, Kohonen’s model, for classification of professional profiles, with the finality of assisting the process of triaging candidates in Human Resources (HR) areas. The practical result of this implementation may be viable to areas in HR, knowing that the neural networks have the ability to get along and adapt rapidly to imprecise data, incomplete or totally new information.

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Author Biographies

Danilo Santos

Bacharel em Ciência da Computação – Uninove.

Marco Aurélio Bonaldo

Bacharel em Ciência da Computação – Uninove.

Sidnei Alves de Araújo, UNINOVE, São Paulo

Mestre em Engenharia Elétrica (Ênfase em Engenharia de Computação) – Mackenzie; Professor no curso de Ciência da Computação – Uninove.

Valdir Bueno

Bacharel em Ciência da Computação – Uninove.

Published

2008-02-27

How to Cite

Santos, D., Bonaldo, M. A., Araújo, S. A. de, & Bueno, V. (2008). Artificial neural networks applied to analysis of professional profiles. Exacta, 2, 91–104. https://doi.org/10.5585/exacta.v2i0.547

Issue

Section

Papers

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