MANNGA: A Robust Method for Gap Filling Meteorological Data

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 Authors: Thiago Meirelles Ventura, Claudia Aparecida Martins, Josiel Maimone de Figueiredo, Allan Gonçalves de Oliveira, Johnata Rodrigo Pinheiro Montanher
Format: Article
Language:English
Published: Sociedade Brasileira de Meteorologia
Series:Revista Brasileira de Meteorologia
Subjects:
dados multivariados
redes neurais artificiais
algoritmos genéticos
software livre
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862019000200315&lng=en&tlng=en

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862019000200315&lng=en&tlng=en

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