MANNGA: A Robust Method for Gap Filling Meteorological Data

Abstract This paper presents Mannga (Multiple variables with Artificial Neural Network and Genetic Algorithm), a method designed for gap filling meteorological data. The main approach is to estimate the missing data based on values of other meteorological variables measured at the same time in the s...

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Detalhes bibliográficos
Autor principal: Ventura,Thiago Meirelles (author)
Outros Autores: Martins,Claudia Aparecida (author), Figueiredo,Josiel Maimone de (author), Oliveira,Allan Gonçalves de (author), Montanher,Johnata Rodrigo Pinheiro (author)
Formato: article
Idioma:eng
Publicado em: 2019
Assuntos:
multivariate data
artificial neural network
genetic algorithm
open source software
Texto completo:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862019000200315
País:Brasil
Oai:oai:scielo:S0102-77862019000200315

Texto Completo

http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862019000200315

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