Name
Abstract | ||
|---|---|---|
The use of neural networks is proposed in this article as a means of determining the personality of an individual. This research work comes in view of the necessity of combining two psychological tests for carrying out personnel selection. From the assessment of the first test known as 16 Personality Factor we can directly obtain an appraisal of the individual's personality type as the one given by the Enneagram Test, which now does not need to be done. The two chosen tests are highly accepted by Human Resources Department in big companies as useful tools for selecting personnel when new recruitment comes up, for personnel promotion internal to the firm, for employees' personal development and growing as a person. The (mathematical/computer science) model chosen to attain the research objectives is based on Artificial Neuron Networks. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-319-91473-2_5 | Communications in Computer and Information Science |
Keywords | Field | DocType |
Machine Learning,Eneagrama,16PF,Psychology,Regression,Neural networks | Human resources,Computer science,Personality type,Knowledge management,Personal development,Enneagram,Psychological testing,Artificial neural network,Personnel selection,Personality | Conference |
Volume | ISSN | Citations |
853 | 1865-0929 | 0 |
PageRank | References | Authors |
0.34 | 1 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. R. Sanchez | 1 | 0 | 0.34 |
| Manuel I. Capel | 2 | 52 | 17.35 |
| Celina Jiménez | 3 | 0 | 0.34 |
| Gonzalo Rodriguez-Fraile | 4 | 0 | 0.34 |
| M C Pegalajar | 5 | 154 | 12.01 |