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Improving flood forecasting through feature selection by a genetic algorithm experiments based on real data from an Amazon rainforest river

Alen Costa Vieira Gabriel Garcia; Rosa Elvira Correa Pabón; Luciano Perdigão Cota; Paulo de Souza; Jó Ueyama; Gustavo Pessin

Earth Science Informatics Heidelberg : Springer v. 14, p. 37-50, 2021

Available at ICMC - Inst. Ciên. Mat. Computação (PROD-3008383 )(GetIt)

Title:
Improving flood forecasting through feature selection by a genetic algorithm experiments based on real data from an Amazon rainforest river
Author: Alen Costa Vieira
Gabriel Garcia; Rosa Elvira Correa Pabón; Luciano Perdigão Cota; Paulo de Souza; Jó Ueyama; Gustavo Pessin
Subjects: ESTUDO DE CASO; ALGORITMOS GENÉTICOS; RIOS; REGRESSÃO LINEAR; River Level Forecasting; Feature Selection
Is Part Of: Earth Science Informatics Heidelberg : Springer v. 14, p. 37-50, 2021
Notes: Disponível em: https://doi.org/10.1007/s12145-020-00528-8. Acesso em: 210 out. 2020
Publisher: Heidelberg
Creation Date: 2021
Format: p. 37-50.
Language: English

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