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Rede neural artificial para detecção de falhas em redes locais
(Universidade Tecnológica Federal do ParanáCuritiba, 2011-08-12)
The growth of computer networks caused by the evolution of hardware devices and software solutions has made media such as email, chat room, IP telephony, and others essential for allowing a greater exchange of information ...
Fingerprint classification with neural networks
(Curitiba, 1997)
This paper presents some intermediate results on fingerprint classification adopting a neural network as decision stage, in order to evaluate the performance of a discrete wavelet transform as feature extraction technique. ...
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 ...
Morphological bidirectional associative memories
(Pergamon-elsevier Science LtdOxfordInglaterra, 1999)
Electric load forecasting using a fuzzy ART&ARTMAP neural network
(Elsevier B.V., 2005-01-01)
This work presents a neural network based on the ART architecture ( adaptive resonance theory), named fuzzy ART& ARTMAP neural network, applied to the electric load-forecasting problem. The neural networks based on the ...
Electric load forecasting using a fuzzy ART&ARTMAP neural network
(Elsevier B.V., 2005-01-01)
This work presents a neural network based on the ART architecture ( adaptive resonance theory), named fuzzy ART& ARTMAP neural network, applied to the electric load-forecasting problem. The neural networks based on the ...
Aplicação de redes neurais artificiais profundas na detecção de placas de pare
(Universidade Tecnológica Federal do ParanáFrancisco BeltraoBrasilMétodos Matemáticos AplicadosUTFPR, 2019-10-26)
Intelligent systems are increasingly present in our daily lives. Among many, stands out the ones based on artificial neural networks. In this way, we apply artificial intelligence techniques in the development of a computer ...
Design and analysis of an efficient neural network model for solving nonlinear optimization problems
(Taylor & Francis Ltd, 2005-10-20)
This paper presents an efficient approach based on a recurrent neural network for solving constrained nonlinear optimization. More specifically, a modified Hopfield network is developed, and its internal parameters are ...
Design and analysis of an efficient neural network model for solving nonlinear optimization problems
(Taylor & Francis Ltd, 2005-10-20)
This paper presents an efficient approach based on a recurrent neural network for solving constrained nonlinear optimization. More specifically, a modified Hopfield network is developed, and its internal parameters are ...
Modeling and analysis of artificial neural networks applied in operations research
(Elsevier B.V., 2001-01-01)
Artificial neural networks are dynamic systems consisting of highly interconnected and parallel nonlinear processing elements. Systems based on artificial neural networks have high computational rates due to the use of a ...