| dc.contributor.author | Virgüez, Jonathan Ferney | |
| dc.contributor.author | Castro Silva, Hugo Fernando | |
| dc.contributor.author | Velásquez Pérez, Torcoroma | |
| dc.coverage.spatial | Colombia | en_US |
| dc.date.accessioned | 2025-10-02T13:14:58Z | |
| dc.date.available | 2025-10-02T13:14:58Z | |
| dc.date.issued | 2021-01-01 | |
| dc.identifier.issn | 2216-0353 | en_US |
| dc.identifier.uri | https://repositorioinstitucional.ufpso.edu.co/xmlui/handle/20.500.14167/5648 | |
| dc.description.abstract | Este artículo expone aquellos resultados derivados de una revisión sistemática de literatura enfocada al reconocimiento de la inteligencia computacional a nivel mundial. Se constituyó el desarrollo metodológico en cuatro diferentes facetas: - la elaboración de ecuaciones de búsqueda, - la comprobación de la calidad y pertinencia de los documentos, - la elaboración de esquemas para el reconocimiento de las tendencias, - la investigación de confluencias y diferencias. Se examinaron 55 artículos procedentes de las bases de datos de Scopus® y Web of Science®, en el software VOSviewer® para la construcción y visualización de redes bibliométricas y concurrencia de términos; dando como resultado Aprendizaje automático, Clasificación, Inteligencia artificial, Selección de características, Clasificación de algoritmos, Redes neuronales, Sistemas inteligentes entre otras. Este estudio arroja resultados de diversos campos de aprendizaje evolutivo para la recopilación de datos para brindar nuevas y diversas aplicaciones más vertiginosas, permitiendo una optimización de datos y nuevas estrategias u herramientas de predicción. | en_US |
| dc.language.iso | spa | en_US |
| dc.relation | https://fesc.edu.co/Revistas/OJS/index.php/mundofesc/article/view/864 | en_US |
| dc.title | Tendencias de la inteligencia computacional | en_US |
| dc.title.translated | Trends in computer intelligence | en_US |
| dc.contributor.cvlac | Jonathan Ferney Virgüez [0001721822] | en_US |
| dc.contributor.cvlac | Hugo Fernando Castro Silva [0001388686] | en_US |
| dc.contributor.cvlac | Torcoroma Velásquez Pérez [0000304891] | en_US |
| dc.contributor.googlescholar | Hugo Fernando Castro Silva [vxtjgAoAAAAJ] | en_US |
| dc.contributor.googlescholar | Torcoroma Velásquez Pérez [DTtZtu4AAAAJ] | en_US |
| dc.contributor.orcid | Jonathan Ferney Virgüez [0000-0001-5504-0817] | en_US |
| dc.contributor.orcid | Hugo Fernando Castro Silva [0000-0001-6020-402X] | en_US |
| dc.contributor.orcid | Torcoroma Velásquez Pérez [0000-0002-2968-2338] | en_US |
| dc.contributor.researchgate | Hugo Fernando Castro Silva [Hugo-Castro-Silva] | en_US |
| dc.contributor.researchgate | Torcoroma Velásquez Pérez [Torcoroma-Perez] | en_US |
| dc.contributor.scopus | Jonathan Ferney Virgüez [57213815361] | en_US |
| dc.contributor.scopus | Hugo Fernando Castro Silva [57205121211] | en_US |
| dc.contributor.scopus | Torcoroma Velásquez Pérez [57205116150] | en_US |
| dc.description.abstractenglish | This article presents those results derived from a systematic review of the literature focused on the recognition of computational intelligence worldwide. The methodological development was constituted in four different facets: - the elaboration of search equations, - the verification of the quality and relevance of the documents, - the elaboration of schemes for the recognition of the trends, - the investigation of confluences and differences. 55 articles from the Scopus® and Web of Science® databases were examined in VOSviewer® software for the construction and visualization of bibliometric networks and term concurrence; resulting in machine learning, classification, artificial intelligence, feature selection, algorithm classification, neural networks, intelligent systems among others. This study yields results from various fields of evolutionary learning for data collection to provide new and diverse faster applications, allowing data optimization and new prediction strategies or tools. | en_US |
| dc.subject.proposal | inteligencia computacional | en_US |
| dc.subject.proposal | Métodos computacionales | en_US |
| dc.subject.proposal | Redes bibliométricas | en_US |
| dc.subject.proposal | Sistemas inteligentes | en_US |
| dc.subject.keywords | Computational intelligence | en_US |
| dc.subject.keywords | Computational methods | en_US |
| dc.subject.keywords | Bibliometric networks | en_US |
| dc.subject.keywords | Intelligent Systems | en_US |
| dc.publisher.faculty | Facultad ingenierías | en_US |
| dc.type.redcol | http://purl.org/redcol/resource_type/ART | en_US |
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| dc.identifier.DOI | https://doi.org/10.61799/2216-0388.864 | en_US |
