Source: Earth Science Informatics. Unidade: ICMC
Subjects: ESTUDO DE CASO, ALGORITMOS GENÉTICOS, RIOS, REGRESSÃO LINEAR
ABNT
VIEIRA, Alen Costa et al. Improving flood forecasting through feature selection by a genetic algorithm: experiments based on real data from an Amazon rainforest river. Earth Science Informatics, v. 14, p. 37-50, 2021Tradução . . Disponível em: https://doi.org/10.1007/s12145-020-00528-8. Acesso em: 16 nov. 2024.APA
Vieira, A. C., Garcia, G., Pabón, R. E. C., Cota, L. P., Souza, P. de, Ueyama, J., & Pessin, G. (2021). Improving flood forecasting through feature selection by a genetic algorithm: experiments based on real data from an Amazon rainforest river. Earth Science Informatics, 14, 37-50. doi:10.1007/s12145-020-00528-8NLM
Vieira AC, Garcia G, Pabón REC, Cota LP, Souza P de, Ueyama J, Pessin G. Improving flood forecasting through feature selection by a genetic algorithm: experiments based on real data from an Amazon rainforest river [Internet]. Earth Science Informatics. 2021 ; 14 37-50.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s12145-020-00528-8Vancouver
Vieira AC, Garcia G, Pabón REC, Cota LP, Souza P de, Ueyama J, Pessin G. Improving flood forecasting through feature selection by a genetic algorithm: experiments based on real data from an Amazon rainforest river [Internet]. Earth Science Informatics. 2021 ; 14 37-50.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s12145-020-00528-8