Prof. Antônio de Pádua Braga
Federal University of Minas Gerais, Brazil
Department of Electronics Engineering
Computational Intelligence Laboratory



Research

Although my publications spam from fundamental topics to applied ones, my main research interest is on the basic issues related to Supervised Learning. Within this broad area, I have worked on different aspects of supervised learning, such as multi-objective optimization for balancing bias and variance, sliding mode control neural networks learning, computational complexity aspects of support vector machines and least squares support vector machines learning, among others.

For a full list of publications, please follow the link. My Resumé is also available.

Selected publications

Multi-objective neural learning

BRAGA, A. P. ; TAKAHASHI, Ricardo Hiroshi Caldeira ; TEIXEIRA, Roselito de Albuquerque ; COSTA, Marcelo Azevedo . Multi-objective algorithms for neural network learning. In: Y. Jin. (Org.). Multi-objective Machine Learning (Series: Studies in Computational Intelligence). 1 ed. Heidelberg: Springer Verlag, 2006, v. , p. -.

COSTA, Marcelo Azevedo ; BRAGA, A. P. . Optimization of neural networks with multi-objective LASSO algorithm. In: International Joint Conference on Neural Networks, 2006, Vancouver, 2006.

COSTA, M. A. ; BRAGA, A. P. ; MENEZES, B. R. . Improving generalization of MLPs with Sliding Mode Control and the Levenberg-Marquadt algorithm. Neurocomputing (Amsterdam), 2006.

COSTA, M. A. ; BRAGA, A. P. ; MENEZES, B. R. ; TEIXEIRA, Roselito de Albuquerque ; PARMA, G. G. . Training Neural Networks with a Multi-Objective Sliding Mode Control Algorithm. Neurocomputing, Holanda, v. 51, p. 467-473, 2003.

TEIXEIRA, R. A. ; BRAGA, A. P. ; TAKAHASHI, Ricardo Hiroshi Caldeira ; SALDANHA, R. R. . Recent advances in the MOBJ algorithm for training artificial neural networks. International Journal of Neural Systems, v. 11, n. 3, p. 265-269, 2001.

TEIXEIRA, R. A. ; BRAGA, A. P. ; TAKAHASHI, Ricardo Hiroshi Caldeira ; SALDANHA, R. R. . Improving generalization of MLPs with multi-objetive optimization. Neurocomputing, v. 35, p. 189-194, 2000.

SVMs

ALMEIDA, M. B. ; BRAGA, A. P. ; BRAGA, J. P. . Training SVMs with EDR algorithm. Inernational Journal of Neural Systems, v. 11, n. 3, p. 257-263, 2001.

SILVA, M. M. ; MAIA, T. T. ; BRAGA, A. P. . An Evolutionary Approach to transduction in Support Vector Machines. In: Fifth International Conference on Hybrid Intelligent Systems - HIS'05, 2005, Rio de Janeiro - RJ. Proceedings HIS'05, 2005.

Sliding Mode Control of Neural Learning

PARMA, G. G. ; MENEZES, B. R. ; BRAGA, A. P. ; COSTA, M. A. . Sliding Mode Neural Network Control of an Induction Motor Drive. International Journal Of Adaptive Control And Signal Processing, EUA, v. 17, p. 501-508, 2003. (2)

PARMA, G. G. ; MENEZES, B. R. ; BRAGA, A. P. . Neural networks learning with sliding mode control: the sliding mode backpropagation algorithm. International Journal Of Neural Systems, Cingapura, v. 9, n. 3, p. 187-193, 1999.

ALMEIDA, M. B. ; BRAGA, A. P. ; BRAGA, J. P. . Training SVMs with EDR algorithm. Inernational Journal of Neural Systems, v. 11, n. 3, p. 257-263, 2001.

PARMA, G. G. ; MENEZES, B. R. ; BRAGA, A. P. . Sliding Mode Algorithm For Training Multi-Layer Neural Networks. IEE Electronics Letters, Inglaterra, v. 38, n. 1, p. 97-98, 1998. (3)

Please, follow the link for the complete list of publications.

Other Links

Teaching
Students
Computational Intelligence Laboratory

Correspondence address:

Departamento de Engenharia Eletrônica
Campus da UFMG (Pampulha)
Av. Antônio Carlos, 6627
Belo Horizonte - MG 31270-901
Brazil

Email: apbraga __at__ cpdee.ufmg.br

(2)Copyright John Wiley and Sons.

(3)This paper is a postprint of a paper submitted to and accepted for publication in IEE Electronics Letters and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library.