{"id":18440665,"url":"https://github.com/gustavohfmo/idpso-elm-s","last_synced_at":"2025-04-07T22:31:48.438Z","repository":{"id":162328480,"uuid":"337848652","full_name":"GustavoHFMO/IDPSO-ELM-S","owner":"GustavoHFMO","description":"Algorithms proposed in the following paper: OLIVEIRA, Gustavo HFMO et al. Time series forecasting in the presence of concept drift: A pso-based approach. In: 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI). 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Time series forecasting in the presence of concept drift: A pso-based approach. In: 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2017. p. 239-246.\n\n## [IDPSO-ELM-B:](https://github.com/GustavoHFMO/IDPSO-ELM-S/blob/master/algoritmos_online/IDPSO_ELM_B.py)\n\u003e OLIVEIRA, Gustavo HFMO et al. Time series forecasting in the presence of concept drift: A pso-based approach. In: 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2017. p. 239-246.\n\n## [ELM-FEDD:](https://github.com/GustavoHFMO/IDPSO-ELM-S/blob/master/algoritmos_online/ELM_FEDD.py)\n\u003e R. C. Cavalcante, L. L. Minku, and A. L. Oliveira, “FEDD: Feature Extraction for Explicit Concept Drift Detection in time series,” in Neural Networks (IJCNN), 2016 International Joint Conference on. IEEE, 2016, pp. 740–747.\n\n## [ELM-ECDD:](https://github.com/GustavoHFMO/IDPSO-ELM-S/blob/master/algoritmos_online/ELM_ECDD.py)\n\u003e R. C. Cavalcante and A. L. Oliveira, “An approach to handle concept drift in financial time series based on extreme learning machines and explicit drift detection,” in Neural Networks (IJCNN), 2015 International Joint Conference on. IEEE, 2015, pp. 1–8.\n\n## [ELM-DDM:](https://github.com/GustavoHFMO/IDPSO-ELM-S/blob/master/algoritmos_online/ELM_DDM.py)\n\u003e R. C. Cavalcante and A. L. Oliveira, “An approach to handle concept drift in financial time series based on extreme learning machines and explicit drift detection,” in Neural Networks (IJCNN), 2015 International Joint Conference on. IEEE, 2015, pp. 1–8.\n\n## Result\n![](https://github.com/GustavoHFMO/IDPSO-ELM-S/blob/master/images/idpso_elm_s_execution.png)\n\n## License\nThis project is under a GNU General Public License (GPL) Version 3. See [LICENSE](https://www.gnu.org/licenses/gpl-3.0-standalone.html) for more information.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgustavohfmo%2Fidpso-elm-s","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgustavohfmo%2Fidpso-elm-s","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgustavohfmo%2Fidpso-elm-s/lists"}