A. Ferreira

发表

An approach to reservoir computing design and training

Teresa Bernarda Ludermir, Aida A. Ferreira, Ronaldo R. B. de Aquino, 2013, Expert Syst. Appl..

SAX-quantile based multiresolution approach for finding heatwave events in summer temperature time series

Manuel Herrera, Aida A. Ferreira, Ronaldo R. B. de Aquino, 2016, AI Commun..

Genetic algorithm for reservoir computing optimization

Teresa Bernarda Ludermir, Aida A. Ferreira, Teresa B Ludermir, 2009, 2009 International Joint Conference on Neural Networks.

Power Curve Modelling for Wind Turbine Using Artificial Intelligence Tools and Pre-established Inference Criteria

Manoel A. Carvalho, Ronaldo Aquino, J. C. Albuquerque, 2020 .

Assessment of power curves in models of wind power forecasting

Milde M. S. Lira, Manoel A. Carvalho, Aida A. Ferreira, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Influence of Extreme Strength in Water Quality of the Jucazinho Reservoir, Northeastern Brazil, PE

José Almir Cirilo, Simone Rosa da Silva, Ronaldo Aquino, 2017 .

Wind forecasting and wind power generation: Looking for the best model based on artificial intelligence

Milde M. S. Lira, Manoel A. Carvalho, Aida A. Ferreira, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Comparing evolutionary methods for reservoir computing pre-training

Teresa Bernarda Ludermir, Aida A. Ferreira, Teresa B Ludermir, 2011, The 2011 International Joint Conference on Neural Networks.

Deep brain emotional learning-based intelligent controller applied to an inverted pendulum system

Davidson C. Marques, Jeydson L. Silva, Ronaldo Aquino, 2022, The Journal of Supercomputing.

Improving reservoir based wind power forecasting with ensembles

Teresa Bernarda Ludermir, Milde M. S. Lira, Manoel A. Carvalho, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Comparing recurrent networks for time-series forecasting

Teresa Bernarda Ludermir, Aida A. Ferreira, Ronaldo R. B. de Aquino, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Evolutionary strategy for simultaneous optimization of parameters, topology and reservoir weights in Echo State Networks

Teresa Bernarda Ludermir, Aida A. Ferreira, Teresa B Ludermir, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Application of Augmented Echo State Networks and Genetic Algorithm to Improve Short-Term Wind Speed Forecasting

M. M. da Silva Lira, Hugo T. V. Gouveia, Ronaldo R. B. de Aquino, 2023, Energies.

Enhancing Short-Term Wind Power Forecasting through Multiresolution Analysis and Echo State Networks

Aida A. Ferreira, Hugo T. V. Gouveia, Ronaldo de Aquino, 2018 .

Creating extreme weather time series through a quantile regression ensemble

Alfonso P. Ramallo-González, David A. Coley, Manuel Herrera, 2018, Environ. Model. Softw..

Piecewise Aggregate Approximation and Quantile Regression for Wind Speed Analysis

Alcides Codeceira Neto, M. Herrera, Heleno B. Silva, 2017, 2017 International Conference on Computational Science and Computational Intelligence (CSCI).

A comparative study of neural network to artificial noses

T.B. Ludermir, A.A. Ferreira, R.R.B. de Aquino, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

Combining Multiple Artificial Neural Networks Using Random Committee to Decide upon Electrical Disturbance Classification

Milde M. S. Lira, Manoel A. Carvalho, Aida A. Ferreira, 2007, 2007 International Joint Conference on Neural Networks.

Boosting Algorithm to Improve a Voltage Waveform Classifier Based on Artificial Neural Network

Milde M. S. Lira, Manoel A. Carvalho, Aida A. Ferreira, 2007, ICANN.