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Optimizing Reservoir Computing with Genetic Algorithm for High-Dimensional SARS-CoV-2 Hospitalization Forecasting: Impacts of Genetic Algorithm Hyperparameters on Feature Selection and Reservoir Computing Hyperparameter Tuning

Title: Optimizing Reservoir Computing with Genetic Algorithm for High-Dimensional SARS-CoV-2 Hospitalization Forecasting: Impacts of Genetic Algorithm Hyperparameters on Feature Selection and Reservoir Computing Hyperparameter Tuning
Authors: Ferté, ThomasAff15, Aff16, Aff17; Dutartre, DanAff17; Hejblum, BorisAff16, Aff17; Griffier, RomainAff15, Aff18; Jouhet, VianneyAff15, Aff18; Thiébaut, RodolpheAff15, Aff16, Aff17; Hinaut, XavierAff17, Aff19, Aff20; Legrand, PierrickAff21, Aff22
Contributors: Goos, Gerhard, Founding EditorAff1; Hartmanis, Juris, Founding EditorAff2; Bertino, Elisa, Series EditorAff3; Gao, Wen, Series EditorAff4; Steffen, Bernhard, Series EditorAff5; Yung, Moti, Series EditorAff6; Legrand, Pierrick, editorAff7; Liefooghe, Arnaud, editorAff8; Lepagnot, Julien, editorAff9; Monmarché, Nicolas, editorAff10; Idoumghar, Lhassane, editorAff11; Pallez, Denis, editorAff12; Siarry, Patrick, editorAff13; Lutton, Evelyne, editorAff14
Source: Artificial Evolution : 16th International Conference, Évolution Artificielle, EA 2024, Bordeaux, France, October 29–31, 2024, Revised Selected Papers. 15926:138-151
Database: Springer Nature eBooks