A Neo-Fuzzy-Neuron with Real-Time Training Applied to Flux Observer for an Induction Moto. - Regis Pinheiro Landim; Benjamin Rodrigues de Menezes; Selênio R. Silva; Walmir M. Caminhas (SBRN, 1998)

Improving Backpropagation with Sliding Mode Control. - Gustavo Guimarães Parma; Benjamin Rodrigues de Menezes; Antônio de Pádua Braga (SBRN, 1998)

Sliding mode backpropagation: control theory applied to neural network learning. - Gustavo Guimarães Parma; Benjamin Rodrigues de Menezes; Antônio de Pádua Braga (IJCNN, 1999)

Nonlinear System Identification Using a Neo Fuzzy Neuron Algorithm: Electrical Drive Application. - Regis Pinheiro Landim; Benjamin Rodrigues de Menezes; Selênio R. Silva; Walmir M. Caminhas (Int. J. Neural Syst., 1999)

Neural Networks Learning with Sliding Mode Control: The Sliding Mode Backpropagation Algorithm. - Gustavo Guimarães Parma; Benjamin Rodrigues de Menezes; Antônio de Pádua Braga (Int. J. Neural Syst., 1999)

On-Line Neo-Fuzzy-Neuron State Observer. - Regis Pinheiro Landim; Benjamin Rodrigues de Menezes; Selênio R. Silva; Walmir M. Caminhas (SBRN, 2000)

Control of a Robotic Manipulator Using Artificial Neural Networks with On-line Adaptation. - Roselito de Albuquerque Teixeira; Antônio de Pádua Braga; Benjamin Rodrigues de Menezes (Neural Process. Lett., 2000)

Improved generalization learning with Sliding Mode Control and the Levenberg-Marquadt Algorithm. - Marcelo Azevedo Costa; Antônio de Pádua Braga; Benjamin Rodrigues de Menezes (SBRN, 2002)

Constructive and Pruning Methods for Neural Network Design. - Marcelo Azevedo Costa; Antônio de Pádua Braga; Benjamin Rodrigues de Menezes (SBRN, 2002)

Control of Generalization with a Bi-Objective Sliding Mode Control Algorithm. - Marcelo Azevedo Costa; Antônio de Pádua Braga; Benjamin Rodrigues de Menezes; Gustavo Guimarães Parma; Roselito de Albuquerque Teixeira (SBRN, 2002)

Online Neofuzzy Neuron Flux Observer for Induction Motor Drives. - Regis Pinheiro Landim; Francisco A. S. Neves; Selênio R. Silva; Walmir M. Caminhas; Benjamin Rodrigues de Menezes (J. Adv. Comput. Intell. Intell. Informatics, 2002)

Improving neural networks generalization with new constructive and pruning methods. - Marcelo Azevedo Costa; Antônio de Pádua Braga; Benjamin Rodrigues de Menezes (J. Intell. Fuzzy Syst., 2002)

Training neural networks with a multi-objective sliding mode control algorithm. - Marcelo Azevedo Costa; Antônio de Pádua Braga; Benjamin Rodrigues de Menezes; Roselito de Albuquerque Teixeira; Gustavo Guimarães Parma (Neurocomputing, 2003)

A New Neurofuzzy Controller Applied to Vector Control of Induction Motors. - Marlon R. de Gouvêa; Eduardo S. Figueiredo; Benjamin Rodrigues de Menezes; Lane Maria Rabelo Baccarini; A. V. Pires; Walmir M. Caminhas (Computational Intelligence, 2005)

Improving generalization of MLPs with sliding mode control and the Levenberg-Marquardt algorithm. - Marcelo Azevedo Costa; Antônio de Pádua Braga; Benjamin Rodrigues de Menezes (Neurocomputing, 2007)

On-line neural training algorithm with sliding mode control and adaptive learning rate. - Ademir Nied; Seleme I. Seleme Jr.; Gustavo Guimarães Parma; Benjamin Rodrigues de Menezes (Neurocomputing, 2007)

Design of a pipeline leakage detection using expert system: A novel approach. - C. A. Laurentys; Carlos H. de M. Bomfim; Benjamin Rodrigues de Menezes; Walmir M. Caminhas (Appl. Soft Comput., 2011)

SVM practical industrial application for mechanical faults diagnostic. - Lane Maria Rabelo Baccarini; Valceres Vieira Rocha e Silva; Benjamin Rodrigues de Menezes; Walmir M. Caminhas (Expert Syst. Appl., 2011)

Convergence analysis of sliding mode trajectories in multi-objective neural networks learning. - Marcelo Azevedo Costa; Antônio de Pádua Braga; Benjamin Rodrigues de Menezes (Neural Networks, 2012)

Adaptive fault detection and diagnosis using parsimonious Gaussian mixture models trained with distributed computing techniques. - Thiago Akio Nakamura; Reinaldo M. Palhares; Walmir M. Caminhas; Benjamin Rodrigues de Menezes; Mário César Mello de Massa Campos; Ubirajara Fumega; Carlos H. de M. Bomfim; André P. Lemos (J. Frankl. Inst., 2017)