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Deep brain emotional learning-based intelligent controller applied to an inverted pendulum system., , , and . J. Supercomput., 78 (6): 8346-8366 (2022)Comparing recurrent networks for time-series forecasting., , and . IJCNN, page 1-8. IEEE, (2012)Genetic algorithm for reservoir computing optimization., and . IJCNN, page 811-815. IEEE Computer Society, (2009)Analysis of mammogram using self-organizing neural networks based on spatial isomorphism., , , , , and . IJCNN, page 1796-1801. IEEE, (2007)Investigating the use of Reservoir Computing for forecasting the hourly wind speed in short -term., , , , and . IJCNN, page 1649-1656. IEEE, (2008)Improving Disturbance Classification by Combining Multiple Artificial Neural Networks., , , , and . IJCNN, page 3436-3442. IEEE, (2006)Forecasting models of wind power in Northeastern of Brazil., , , , , and . IJCNN, page 1-8. IEEE, (2013)Wind forecasting and wind power generation: Looking for the best model based on artificial intelligence., , , , , and . IJCNN, page 1-8. IEEE, (2012)Models Based on Neural Networks and Neuro-Fuzzy Systems for Wind Power Prediction Using Wavelet Transform as Data Preprocessing Method., , , , , and . EANN, volume 311 of Communications in Computer and Information Science, page 272-281. Springer, (2012)Improving reservoir based wind power forecasting with ensembles., , , , , , and . SMC, page 946-952. IEEE, (2014)