2019-09-242019-09-242019-03-02PERES, Victor Cruz da. Sistema hidrológico para previsão de risco na Amazônia utilizando redes neurais artificiais. Orientador: Edson José Paulino da Rocha. 2019. 124 f. Dissertação (Mestrado em Gestão de Riscos e Desastres Naturais na Amazônia) – Instituto de Geociências, Universidade Federal do Pará, Belém, 2019. Disponível em: http://repositorio.ufpa.br/jspui/handle/2011/11837. Acesso em:.https://repositorio.ufpa.br/handle/2011/11837The 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.Acesso AbertoRedes neurais (Computação)Sistema de alertaAmazôniaDissertaçãoCNPQ::CIENCIAS EXATAS E DA TERRA::GEOCIENCIASAMEAÇAS NATURAIS NO AMBIENTE AMAZÔNICOMINIMIZAÇÃO DE RISCOS E MITIGAÇÃO DE DESASTRES NATURAIS NA AMAZÔNIA