Application of a Computational Hybrid Model to Estimate and Filling Gaps for Meteorological Time Series
Abstract The present study applies computational intelligence techniques in the development of a hybrid model composed of Artificial Neural Networks (ANNs) and Genetic Algorithms (GAs) (MLP-GA) to estimate and fill in the gaps in the monthly variables of evaporation, maximum temperature and relative...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Sociedade Brasileira de Meteorologia
2024-01-01
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Series: | Revista Brasileira de Meteorologia |
Subjects: | |
Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862023000100220&lng=en&tlng=en |