Sistema hidrológico para previsão de risco na Amazônia utilizando redes neurais.
The estimation of the future behavior of the levels of a river basin is fundamental for the elaboration of the plan of management of its water resources. The objective of this research was to model the relationship between rainfall and level through a technique known as artificial neural networks (R...
| Autor principal: | PERES, Victor da Cruz |
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| Grau: | Dissertação |
| Idioma: | por |
| Publicado em: |
Universidade Federal do Pará
2019
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| Acesso em linha: |
http://repositorio.ufpa.br/jspui/handle/2011/11837 |
| Resumo: |
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The estimation of the future behavior of the levels of a river basin is fundamental for the elaboration of the plan of management of its water resources. The objective of this research was to model the relationship between rainfall and level through a technique known as artificial neural networks (RNA). RNAs are empirical models with functions similar to the functioning of the human brain. In this research, the ability of RNA to model the rain-level process on a daily basis was evaluated. Influences of network architecture, initialization of weights, and extension of data series were considered during RNA training. The five RNAs that produced the best results were confronted with the observed results. The results were very satisfactory. Finding in a dry and full alert system in Itaituba-Pa. |