Benjamin Rodrigues de Menezes
According to our database1,
Benjamin Rodrigues de Menezes
authored at least 20 papers
between 1998 and 2017.
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Bibliography
2017
Adaptive fault detection and diagnosis using parsimonious Gaussian mixture models trained with distributed computing techniques.
J. Frankl. Inst., 2017
2012
Convergence analysis of sliding mode trajectories in multi-objective neural networks learning.
Neural Networks, 2012
2011
Expert Syst. Appl., 2011
Appl. Soft Comput., 2011
2007
On-line neural training algorithm with sliding mode control and adaptive learning rate.
Neurocomputing, 2007
Improving generalization of MLPs with sliding mode control and the Levenberg-Marquardt algorithm.
Neurocomputing, 2007
2005
A New Neurofuzzy Controller Applied to Vector Control of Induction Motors.
Proceedings of the IASTED International Conference on Computational Intelligence, 2005
2003
Neurocomputing, 2003
2002
J. Intell. Fuzzy Syst., 2002
J. Adv. Comput. Intell. Intell. Informatics, 2002
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002
Improved generalization learning with Sliding Mode Control and the Levenberg-Marquadt Algorithm.
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002
2000
Control of a Robotic Manipulator Using Artificial Neural Networks with On-line Adaptation.
Neural Process. Lett., 2000
Proceedings of the 6th Brazilian Symposium on Neural Networks (SBRN 2000), 2000
1999
Neural Networks Learning with Sliding Mode Control: The Sliding Mode Backpropagation Algorithm.
Int. J. Neural Syst., 1999
Nonlinear System Identification Using a Neo Fuzzy Neuron Algorithm: Electrical Drive Application.
Int. J. Neural Syst., 1999
Proceedings of the International Joint Conference Neural Networks, 1999
1998
Proceedings of the 5th Brazilian Symposium on Neural Networks (SBRN '98), 1998
A Neo-Fuzzy-Neuron with Real-Time Training Applied to Flux Observer for an Induction Moto.
Proceedings of the 5th Brazilian Symposium on Neural Networks (SBRN '98), 1998