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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 ...
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 ...
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 ...
Previsão de preços de ações no período intradiário por meio de focused time lagged feedforward networks
(Universidade do Vale do Rio dos Sinos, 2015-07-27)
Stock price prediction is a subject of great interest for both market agents and scientific and academic community. At the same time, this problem is considered to be one of the most challenging in time series forecasting, ...
Previsão de preços de ações no período intradiário por meio de focused time lagged feedforward networks
(Universidade do Vale do Rio dos Sinos, 2015-07-27)
Stock price prediction is a subject of great interest for both market agents and scientific and academic community. At the same time, this problem is considered to be one of the most challenging in time series forecasting, ...
Redes neurais artificiais aplicadas na classificação litológica das formações Palermo e Rio Bonito na jazida do Leão - RS, com base em perfis geofísicos
(Universidade do Vale do Rio dos Sinos, 2009-03-27)
The techniques of geophysical logging and core descriptions, used on lithology identification, represent a high financial cost and involve a considerable amount of time from a specialist. On that direction, the main objective ...
Redes neurais artificiais aplicadas na classificação litológica das formações Palermo e Rio Bonito na jazida do Leão - RS, com base em perfis geofísicos
(Universidade do Vale do Rio dos Sinos, 2009-03-27)
The techniques of geophysical logging and core descriptions, used on lithology identification, represent a high financial cost and involve a considerable amount of time from a specialist. On that direction, the main objective ...