2009 |
8 | EE | Douglas A. G. Vieira,
L. Travassos,
Rodney R. Saldanha,
Vasile Palade:
Signal denoising in engineering problems through the minimum gradient method.
Neurocomputing 72(10-12): 2270-2275 (2009) |
2008 |
7 | EE | Douglas A. G. Vieira,
X. L. Travassos Jr.,
Vasile Palade,
Rodney R. Saldanha:
Filtering Noise in Regression Problems Using a Multiobjective Learning Algorithm.
ICTAI (2) 2008: 452-456 |
2007 |
6 | EE | Roselito de Albuquerque Teixeira,
Antônio de Pádua Braga,
Rodney R. Saldanha,
Ricardo H. C. Takahashi,
Talles Henrique de Medeiros:
The Usage of Golden Section in Calculating the Efficient Solution in Artificial Neural Networks Training by Multi-objective Optimization.
ICANN (1) 2007: 289-298 |
2005 |
5 | EE | Elizabeth F. Wanner,
Frederico G. Guimarães,
Rodney R. Saldanha,
Ricardo H. C. Takahashi,
Peter J. Fleming:
Constraint quadratic approximation operator for treating equality constraints with genetic algorithms.
Congress on Evolutionary Computation 2005: 2255-2262 |
2002 |
4 | EE | Roselito de Albuquerque Teixeira,
Antônio de Pádua Braga,
Ricardo H. C. Takahashi,
Rodney R. Saldanha:
Decisior Implementation in Neural Model Selection by Multi-objective Optimization.
SBRN 2002: 234 |
2001 |
3 | EE | Roselito de Albuquerque Teixeira,
Antônio de Pádua Braga,
Ricardo H. C. Takahashi,
Rodney R. Saldanha:
Recent Advances in the MOBJ Algorithm for Training Artifical Neural Networks.
Int. J. Neural Syst. 11(3): 265-270 (2001) |
2000 |
2 | EE | Roselito de Albuquerque Teixeira,
Antônio de Pádua Braga,
Ricardo H. C. Takahashi,
Rodney R. Saldanha:
A Multi-Objective Optimization Approach for Training Artificial Neural Networks.
SBRN 2000: 168-172 |
1 | EE | Roselito de Albuquerque Teixeira,
Antônio de Pádua Braga,
Ricardo H. C. Takahashi,
Rodney R. Saldanha:
Improving generalization of MLPs with multi-objective optimization.
Neurocomputing 35(1-4): 189-194 (2000) |