Benjamin Rodrigues de Menezes

According to our database1, Benjamin Rodrigues de Menezes authored at least 20 papers between 1998 and 2017.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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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
SVM practical industrial application for mechanical faults diagnostic.
Expert Syst. Appl., 2011

Design of a pipeline leakage detection using expert system: A novel approach.
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
Training neural networks with a multi-objective sliding mode control algorithm.
Neurocomputing, 2003

2002
Improving neural networks generalization with new constructive and pruning methods.
J. Intell. Fuzzy Syst., 2002

Online Neofuzzy Neuron Flux Observer for Induction Motor Drives.
J. Adv. Comput. Intell. Intell. Informatics, 2002

Control of Generalization with a Bi-Objective Sliding Mode Control Algorithm.
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002

Constructive and Pruning Methods for Neural Network Design.
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

On-Line Neo-Fuzzy-Neuron State Observer.
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

Sliding mode backpropagation: control theory applied to neural network learning.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
Improving Backpropagation with Sliding Mode Control.
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


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