Automatic Selection of Financial Ratios by Means of Differential Evolution and for Predicting Business Insolvency
| UDC.coleccion | Investigación | es_ES |
| UDC.conferenceTitle | Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence. IWINAC 2022 | es_ES |
| UDC.departamento | Ciencias da Computación e Tecnoloxías da Información | es_ES |
| UDC.departamento | Empresa | es_ES |
| UDC.grupoInv | Dirección Financeira e Sistemas de Información para a Xestión (FYSIG) | es_ES |
| UDC.grupoInv | Information Retrieval Lab (IRlab) | es_ES |
| UDC.institutoCentro | CITIC - Centro de Investigación de Tecnoloxías da Información e da Comunicación | es_ES |
| dc.contributor.author | Santos Reyes, José | |
| dc.contributor.author | Sestayo Yermo, Óscar | |
| dc.contributor.author | Beade, Angel | |
| dc.contributor.author | Rodríguez López, Manuel | |
| dc.date.accessioned | 2025-04-21T09:08:57Z | |
| dc.date.embargoEndDate | 9999-12-31 | es_ES |
| dc.date.embargoLift | 9999-12-31 | |
| dc.date.issued | 2022 | |
| dc.description.abstract | [Abstract]: Differential evolution was used for the automatic selection of financial ratios for the prediction of business insolvency. A sample of companies from the Galician economy is used to predict the insolvency of a company a year in advance. The genetic population encodes possible sets or combinations of financial ratios, and the quality of each encoded solution is determined by the classification accuracy provided by a KNN classifier that uses the selected encoded ratios. Finally, the selected and relevant ratios are used with a more robust classifier, a classical multilayer perceptron, which provides greater sensitivity in the prediction results. | es_ES |
| dc.description.sponsorship | This study was funded by the Xunta de Galicia and the European Union, with grants CITIC (ED431G 2019/01), GPC ED431B 2019/03, and by the Spanish Ministry of Science and Innovation (project PID2020-116201GB-I00). | es_ES |
| dc.description.sponsorship | Xunta de Galicia; ED431G 2019/01 | es_ES |
| dc.description.sponsorship | Xunta de Galicia; ED431B 2019/03 | es_ES |
| dc.identifier.citation | Santos, J., Sestayo, Ó., Beade, Á., Rodríguez, M. (2022). Automatic Selection of Financial Ratios by Means of Differential Evolution and for Predicting Business Insolvency. In: Ferrández Vicente, J.M., Álvarez-Sánchez, J.R., de la Paz López, F., Adeli, H. (eds) Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence. IWINAC 2022. Lecture Notes in Computer Science, vol 13259. Springer, Cham. https://doi.org/10.1007/978-3-031-06527-9_53 | es_ES |
| dc.identifier.doi | https://doi.org/10.1007/978-3-031-06527-9_53 | |
| dc.identifier.isbn | 978-3-031-06527-9 | |
| dc.identifier.uri | http://hdl.handle.net/2183/41798 | |
| dc.language.iso | eng | es_ES |
| dc.publisher | Springer | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-116201GB-I00/ES/RAZONAMIENTO AUTOMATICO Y APRENDIZAJE CON INDUCCION DE CONOCIMIENTO | es_ES |
| dc.relation.uri | https://doi.org/10.1007/978-3-031-06527-9_53 | es_ES |
| dc.rights.accessRights | embargoed access | es_ES |
| dc.title | Automatic Selection of Financial Ratios by Means of Differential Evolution and for Predicting Business Insolvency | es_ES |
| dc.type | conference output | es_ES |
| dc.type.hasVersion | VoR | es_ES |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | f5e23200-9174-4def-9fde-e3ce6c3c26d5 | |
| relation.isAuthorOfPublication | c85b6a48-b6d1-41c9-af79-3f6a2ee2e82d | |
| relation.isAuthorOfPublication.latestForDiscovery | f5e23200-9174-4def-9fde-e3ce6c3c26d5 |
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