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Development of neurofuzzy architecture for solving the N-Queens problem
(Taylor & Francis Ltd, 2005-11-01)
Neural networks are dynamic systems consisting of highly interconnected and parallel nonlinear processing elements that are shown to be extremely effective in computation. This paper presents an architecture of recurrent ...
Distribution network reconfiguration using an efficient evolutionary algorithm
(2007-12-01)
Network reconfiguration is an important tool to optimize the operating conditions of a distribution system. This is accomplished modifying the network structure of distribution feeders by changing the open/close status of ...
Distribution network reconfiguration using an efficient evolutionary algorithm
(2007-12-01)
Network reconfiguration is an important tool to optimize the operating conditions of a distribution system. This is accomplished modifying the network structure of distribution feeders by changing the open/close status of ...
Short-term multinodal load forecasting in distribution systems using general regression neural networks
(2011-10-05)
Multinodal load forecasting deals with the loads of several interest nodes in an electrical network system, which is also known as bus load forecasting. To perform this demand, it is necessary a technique that is precise, ...
Short-term multinodal load forecasting in distribution systems using general regression neural networks
(2011-10-05)
Multinodal load forecasting deals with the loads of several interest nodes in an electrical network system, which is also known as bus load forecasting. To perform this demand, it is necessary a technique that is precise, ...
Identificação não linear usando uma rede fuzzy wavelet neural network modificada
(Universidade Federal do Rio Grande do NorteBRUFRNPrograma de Pós-Graduação em Engenharia ElétricaAutomação e Sistemas; Engenharia de Computação; Telecomunicações, 2014-03-24)
In last decades, neural networks have been established as a major tool for the
identification of nonlinear systems. Among the various types of networks used in identification,
one that can be highlighted is the wavelet ...