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Uso de Redes Neurais no Refinamento de Bases de Conhecimento em Sistemas de Diagnóstico para Eutrofização de Açudes

Raphael LeiteAna Teresa Martins

One of the main concerns of the government of the State of Ceará is to assure the quality of water of its reservoirs. The eutrophization of a reservoir is a process of deterioration that leads itself to an ecological disturbance. A knowledge-based system has been developed aiming to automatize the diagnosis of eutrophization in reservoirs of Fortaleza. The knowledge that has been supplied by experts is represented, within the system, through production rules. A neural network has been included in the system in order to complement this knowledge through learning algorithms. The adopted algorithms to translate rules to neural networks and to extract rules from the refined neural network will be here presented. Clique no link abaixo para buscar o texto completo deste trabalho na Web: Buscar na Web

Biblioteca Digital Brasileira de Computação - Contato: bdbcomp@lbd.dcc.ufmg.br
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