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Aida A. Ferreira: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Ronaldo R. B. de Aquino, Aida A. Ferreira, Manoel A. Carvalho, Milde M. S. Lira, Geane B. Silva, Otoni Nóbrega Neto
    Development of a Hybrid Intelligent System for Electrical Load Forecasting. [Citation Graph (0, 0)][DBLP]
    IBERAMIA-SBIA, 2006, pp:228-237 [Conf]
  2. Ronaldo R. B. de Aquino, Aida A. Ferreira, Manoel A. Carvalho, Milde M. S. Lira, Geane B. Silva, Otoni Nóbrega Neto
    Combining Artificial Neural Networks and Heuristic Rules in a Hybrid Intelligent Load Forecast System. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2006, pp:757-766 [Conf]
  3. Aida A. Ferreira, Teresa Bernarda Ludermir, Ronaldo R. B. de Aquino
    Comparing Neural Network Architecture for Pattern Recognize System on Artificial Noses. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2005, pp:635-640 [Conf]
  4. Ronaldo R. B. de Aquino, Otoni Nóbrega Neto, Milde M. S. Lira, Aida A. Ferreira, Katyusco F. Santos
    Using Genetic Algorithm to Develop a Neural-Network-Based Load Forecasting. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2007, pp:738-747 [Conf]
  5. Ronaldo R. B. de Aquino, Geane B. Silva, Milde M. S. Lira, Aida A. Ferreira, Manoel A. Carvalho, Otoni Nóbrega Neto, Josinaldo B. de Oliveira
    Combined Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System for Improving a Short-Term Electric Load Forecasting. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2007, pp:779-788 [Conf]
  6. Milde M. S. Lira, Ronaldo R. B. de Aquino, Aida A. Ferreira, Manoel A. Carvalho, Otoni Nóbrega Neto, Gabriela S. M. Santos, Carlos Alberto B. O. Lira
    Boosting Algorithm to Improve a Voltage Waveform Classifier Based on Artificial Neural Network. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2007, pp:455-464 [Conf]

  7. Using Reservoir Computing for Forecasting Time Series: Brazilian Case Study. [Citation Graph (, )][DBLP]


  8. Combining Multiple Artificial Neural Networks Using Random Committee to Decide upon Electrical Disturbance Classification. [Citation Graph (, )][DBLP]


  9. Development of an Artificial Neural Network by Genetic Algorithm to Mid-Term Load Forecasting. [Citation Graph (, )][DBLP]


  10. Analysis of mammogram using self-organizing neural networks based on spatial isomorphism. [Citation Graph (, )][DBLP]


  11. Improving Disturbance Classification by Combining Multiple Artificial Neural Networks. [Citation Graph (, )][DBLP]


  12. A Hybrid Intelligent System for Short and Mid-term Forecasting for the CELPE Distribution Utility. [Citation Graph (, )][DBLP]


  13. Investigating the use of Reservoir Computing for forecasting the hourly wind speed in short -term. [Citation Graph (, )][DBLP]


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