Resumen

Multilayer neural network for assessment of labor competences. Rev cuba cienc informat [online]. 2016, vol.10, suppl.1, pp. 210-223. ISSN 2227-1899.

ABSTRACT Human resources are a strategic resource within a project-oriented organization, and evaluation of labor competencies has been identified as a key process to manage them. There are tools that manage data needed for competences evaluation, but do not have features that integrate techniques to facilitate the use of such data. Artificial Intelligence (AI) emerged from philosophical study and reasoning of human intelligence, combined with the exploration of man as to imitate the surrounding nature until the wish of to imitate even himself. This incessant search allowed the creation of various techniques including Artificial Neural Networks (ANN's). In this paper a study of RNA's, mainly of Multilayer Perceptron type and skills assessment, was performed. A multilayer neural network is implemented to evaluate the human resources competences, through functions created using the language PL / R. It is obtained as a result a trained neural network that allows assessment of labor competences in the XEDRO GESPRO system. Through its experimental application it was found that the RNA proposal increases the efficiency compared to traditional methods and it has acceptable levels of effectiveness.

Palabras clave : Labor competencies; competencies evaluation; project management; human resources management; multilayer neural network.

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