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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pantanal. Para informações adicionais entre em contato com cpap.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Pantanal. |
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Data corrente: |
01/04/2019 |
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Data da última atualização: |
04/11/2019 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
BULHÕES, J. S.; MARTINS, C. L.; REIS, M. R. C.; OLIVEIRA, M. D. de; CALHEIROS, D. F.; CALIXTO, W. P. |
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Afiliação: |
JÚNIOR S. BULHÕES, IFMT; CRISTIANE L. MARTINS, IFG; MÁRCIO R. C. REIS, IFG; MARCIA DIVINA DE OLIVEIRA, CPAP; DEBORA FERNANDES CALHEIROS, SGE; WESLEY P. CALIXTO, IFG. |
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Título: |
Predicting system for flooded areas developed with mlp-type neural network. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
In: IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING; IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE, 2018. Palermo, Italy, 2018. Proceedings... [Palermo, Italy]: IEEE Xplorer, 2018. |
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Páginas: |
Não paginado. |
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Idioma: |
Inglês |
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Conteúdo: |
Forecasting systems can help in the intervention process of events in order to prevent them from occurring. Most of the existing methods use time series for the development and performance of the forecasting system. The purpose of this study is to observe the obtained results through the use of artificial multilayer neural networks. This work verified the efficiency of the proposed method for limnological water quality variables collected from the Paraguay River, corroborating with other studies that are used this tool in an attempt to predict events. |
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Thesagro: |
Limnologia. |
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Thesaurus Nal: |
Limnology. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 01314nam a2200205 a 4500
001 2107852
005 2019-11-04
008 2018 bl uuuu u00u1 u #d
100 1 $aBULHÕES, J. S.
245 $aPredicting system for flooded areas developed with mlp-type neural network.$h[electronic resource]
260 $aIn: IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING; IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE, 2018. Palermo, Italy, 2018. Proceedings... [Palermo, Italy]: IEEE Xplorer$c2018
300 $aNão paginado.
520 $aForecasting systems can help in the intervention process of events in order to prevent them from occurring. Most of the existing methods use time series for the development and performance of the forecasting system. The purpose of this study is to observe the obtained results through the use of artificial multilayer neural networks. This work verified the efficiency of the proposed method for limnological water quality variables collected from the Paraguay River, corroborating with other studies that are used this tool in an attempt to predict events.
650 $aLimnology
650 $aLimnologia
700 1 $aMARTINS, C. L.
700 1 $aREIS, M. R. C.
700 1 $aOLIVEIRA, M. D. de
700 1 $aCALHEIROS, D. F.
700 1 $aCALIXTO, W. P.
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Embrapa Pantanal (CPAP) |
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