Antônio de Pádua Braga
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Redes neurais artificiais: teoria e aplicações
AP Braga, A Carvalho, TB Ludermir
Livros Técnicos e Científicos, 2000
Sistemas inteligentes: fundamentos e aplicações
SO Rezende
Editora Manole Ltda, 2003
SVM-KM: speeding SVMs learning with a priori cluster selection and k-means
MB De Almeida, A de Pádua Braga, JP Braga
Proceedings. Vol. 1. Sixth Brazilian Symposium on Neural Networks, 162-167, 2000
Novel cost-sensitive approach to improve the multilayer perceptron performance on imbalanced data
CL Castro, AP Braga
IEEE transactions on neural networks and learning systems 24 (6), 888-899, 2013
Weightless neural models: a review of current and past works
TB Ludermir, A Carvalho, AP Braga, MD Souto
Neural Computing Surveys 2, 41-61, 1999
Improving generalization of MLPs with multi-objective optimization
R de Albuquerque Teixeira, AP Braga, RHC Takahashi, RR Saldanha
Neurocomputing 35 (1-4), 189-194, 2000
Intelligent thermographic diagnostic applied to surge arresters: a new approach
CAL Almeida, AP Braga, S Nascimento, V Paiva, HJA Martins, R Torres, ...
IEEE Transactions on power delivery 24 (2), 751-757, 2009
Sliding mode algorithm for training multilayer artificial neural networks
GG Parma, BR Menezes, AP Braga
Electronics Letters 34 (1), 97-98, 1998
Redes neurais artificiais
AP Braga, A Carvalho, TB Ludermir
Teoria e Aplicaçoes, 2000
Improving generalization of MLPs with sliding mode control and the Levenberg–Marquardt algorithm
MA Costa, A de Pádua Braga, BR de Menezes
Neurocomputing 70 (7-9), 1342-1347, 2007
Training neural networks with a multi-objective sliding mode control algorithm
MA Costa, AP Braga, BR Menezes, RA Teixeira, GG Parma
Neurocomputing 51, 467-473, 2003
Black and gray-box identification of a hydraulic pumping system
BHG Barbosa, LA Aguirre, CB Martinez, AP Braga
IEEE Transactions on control systems technology 19 (2), 398-406, 2010
An efficient multi-objective learning algorithm for RBF neural network
I Kokshenev, AP Braga
Neurocomputing 73 (16-18), 2799-2808, 2010
Reinforcement learning of a simple control task using the spike response model
MS de Queiroz, RC de Berrêdo, A de Pádua Braga
Neurocomputing 70 (1-3), 14-20, 2006
Evolutionary radial basis functions for credit assessment
E Lacerda, AC Carvalho, AP Braga, TB Ludermir
Applied Intelligence 22 (3), 167-181, 2005
Sliding mode neural network control of an induction motor drive
GG Parma, BR Menezes, AP Braga, MA Costa
International Journal of Adaptive Control and Signal Processing 17 (6), 501-508, 2003
A multi-objective approach to RBF network learning
I Kokshenev, AP Braga
Neurocomputing 71 (7-9), 1203-1209, 2008
Multi-objective algorithms for neural networks learning
AP Braga, RHC Takahashi, MA Costa, R de Albuquerque Teixeira
Multi-objective machine learning, 151-171, 2006
Psychiatric comorbidity in diabetes type 1: a cross-sectional observational study
ACC Maia, AA Braga, F Paes, S Machado, AE Nardi, AC Silva
Revista da Associação Médica Brasileira 60 (1), 59-62, 2014
Prediction and simulation errors in parameter estimation for nonlinear systems
LA Aguirre, BHG Barbosa, AP Braga
Mechanical Systems and Signal Processing 24 (8), 2855-2867, 2010
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