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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Bibliographic Details
Main Author: Ventura,Thiago Meirelles (author)
Other Authors: Martins,Claudia Aparecida (author), Figueiredo,Josiel Maimone de (author), Oliveira,Allan Gonçalves de (author), Montanher,Johnata Rodrigo Pinheiro (author)
Format: article
Language:eng
Published: 2019
Subjects:
multivariate data
artificial neural network
genetic algorithm
open source software
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862019000200315
Country:Brazil
Oai:oai:scielo:S0102-77862019000200315

Internet

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

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