Revista de Matemática: Teoría y Aplicaciones ISSN Impreso: 1409-2433 ISSN electrónico: 2215-3373

OAI: https://revistas.ucr.ac.cr/index.php/matematica/oai
Selección de personal mediante redes neuronales artificiales
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Keywords

Artificial intelligence
neural nets
pattern recognition
personnel selection
Inteligencia artificial
redes neuronales
reconocimiento de patrones
selección de personal

How to Cite

Acevedo Orduña, G. L., Caicedo Bravo, E. F., & Loaiza Correa, H. (2007). Selección de personal mediante redes neuronales artificiales. Revista De Matemática: Teoría Y Aplicaciones, 14(1), 7–20. https://doi.org/10.15517/rmta.v14i1.278

Abstract

We study the personnel selection problem by the application of techniques of computing intelligence for the classification of psychological patterns. The system is based on the psychological test 16-PF, for the extraction of the First Order factors and the motivational distortion, for being used as entries in a pattern recognition algorithm that intends to predict behavior. Initially, we define the 16-PF test and the computational structures to be used. Then we describe the normalization and pattern extraction procedures, and finally, we provide experimental results for illustrating the performance of the classification techniques, which are analyzed in a problem of cadets selection for the Navy School Almirante Padilla.

https://doi.org/10.15517/rmta.v14i1.278
PDF (Español (España))

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