Unemployment Rate Prediction Using a Hybrid Model of Recurrent Neural Networks and Genetic Algorithms

SEBASTIAN EMILIO VENTURA SOTO2026-01-292026-01-29202410.3390/app140831742-s2.0-85192539057https://www.scopus.com/inward/record.uri?eid=2-s2.https://ucocris.uco.es/handle/123456789/37762Computer Science ApplicationsEngineering (all)Fluid Flow and Transfer ProcessesInstrumentationMaterials Science (all)Process Chemistry and TechnologyUnemployment Rate Prediction Using a Hybrid Model of Recurrent Neural Networks and Genetic Algorithmsresearch article