Proposta de um sistema híbrido composto por redes neurais artificiais e algorítmos genéticos para o tratamento de alarmes e o diagnóstico de faltas em sistemas elétricos de potência
This work proposes a hybrid system for alarm processing and fault diagnosis in electrical networks which use two methods of computational intelligence: Generalized Regression Neural Network and Genetic Algorithms. The neural network has the function of processing the set of received alarms and prese...
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Format: | Others |
Language: | Portuguese |
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Universidade Federal de Santa Maria
2017
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Online Access: | http://repositorio.ufsm.br/handle/1/8490 |