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Development of an artificial neural network architecture using programmable logic
(Universidade do Vale do Rio dos Sinos, 2016-03-07)
Currently, modern Artificial Neural Networks (ANN), according to their complexity, require a workstation for processing all their input data. This type of processing architecture requires that the field device is located ...
Estimadores de frequência aplicados a sistemas elétricos de potência
(Universidade Federal de Santa MariaBREngenharia ElétricaUFSMPrograma de Pós-Graduação em Engenharia Elétrica, 2013-03-08)
The frequency estimation is a problem widely studied in many fields including electric power systems. Several methods have been proposed for this purpose, and most of them perform well when the signal is not distorted by ...
Development of an artificial neural network architecture using programmable logic
(Universidade do Vale do Rio dos Sinos, 2016-03-07)
Currently, modern Artificial Neural Networks (ANN), according to their complexity, require a workstation for processing all their input data. This type of processing architecture requires that the field device is located ...
Sistema tutor monitorado por rede neural artificial
(Universidade Federal de UberlândiaBRPrograma de Pós-graduação em Engenharia ElétricaEngenhariasUFU, 2016)
Propagação de alvos em redes neurais artificiais
(Universidade Federal de Santa MariaBrasilFísicaUFSMPrograma de Pós-Graduação em FísicaCentro de Ciências Naturais e Exatas, 2019-02-22)
Artificial neural network is a type of artificial intelligence focued on the study of learning systems
with data. The training of neural networks requires a method that evolves their internal
parameters, which are ...
Uso de redes neurais artificiais na simulação Monte Carlo aplicado ao problema de dobramento de proteínasUse of artificial neural networks with Monte Carlo simulation applied to the protein folding problem
(Universidade do Vale do Rio do Sinos, 2006-05-25)
This work proposes a new strategy to optimize the Monte Carlo method (MC) applied to the protein folding problem. This strategy is based on the information obtained from Artificial Neural Networks (ANNs), trained to predict ...
Uso de redes neurais artificiais na simulação Monte Carlo aplicado ao problema de dobramento de proteínasUse of artificial neural networks with Monte Carlo simulation applied to the protein folding problem
(Universidade do Vale do Rio do Sinos, 2006-05-25)
This work proposes a new strategy to optimize the Monte Carlo method (MC) applied to the protein folding problem. This strategy is based on the information obtained from Artificial Neural Networks (ANNs), trained to predict ...
Modelagem matemática e simulação computacional aplicadas ao estudo de processos de co-digestão anaeróbia de glicerol e/ou melaço
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Engenharia Química - PPGEQCâmpus São Carlos, 2022-11-29)
Policies worldwide are increasingly incentivizing and pressuring countries to use renewable sources of energy. Brazil was a pioneer in the production of bioethanol and is one of the main producers of biodiesel. Due to the ...