Selección de personal mediante redes neuronales artificiales

 

Đã lưu trong:
Chi tiết về thư mục
Nhiều tác giả: Acevedo Orduña, German Leonardo, Caicedo Bravo, Eduardo Francisco, Loaiza Correa, Humberto
Định dạng: artículo original
Trạng thái:Versión publicada
Ngày xuất bản:2007
Miêu tả: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.
Quốc gia:Portal de Revistas UCR
Tổ chức giáo dục:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Ngôn ngữ:Español
OAI Identifier:oai:portal.ucr.ac.cr:article/278
Truy cập trực tuyến:https://revistas.ucr.ac.cr/index.php/matematica/article/view/278
Từ khóa:Artificial intelligence
neural nets
pattern recognition
personnel selection
Inteligencia artificial
redes neuronales
reconocimiento de patrones
selección de personal