Selección de Personal mediante Redes Neuronales Artificiales
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...
| Main Authors: | Acevedo Orduña, German Leonardo, Caicedo Bravo, Eduardo Francisco, Loaiza Correa, Humberto |
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| Format: | Artículo |
| Language: | Español |
| Published: |
2015
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| Online Access: |
http://revistas.ucr.ac.cr/index.php/matematica/article/view/278 http://hdl.handle.net/10669/12927 |
| Summary: |
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. |
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