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Improving the Efficiency of Natural Computing Algorithms in DOA Estimation Using a Noise Filtering Approach.

, , , and . Circuits Syst. Signal Process., 32 (4): 1991-2001 (2013)

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Echo State Networks for Seasonal Streamflow Series Forecasting., , , and . IDEAL, volume 7435 of Lecture Notes in Computer Science, page 226-236. Springer, (2012)Immune-Inspired Optimization with Autocorrentropy Function for Blind Inversion of Wiener Systems., , , , and . CEC, page 1-7. IEEE, (2018)Echo State Networks and Extreme Learning Machines: A Comparative Study on Seasonal Streamflow Series Prediction., , , and . ICONIP (2), volume 7664 of Lecture Notes in Computer Science, page 491-500. Springer, (2012)An echo state network architecture based on volterra filtering and PCA with application to the channel equalization problem., , , and . IJCNN, page 580-587. IEEE, (2011)The modified MEXICO for ICA over finite fields., , , and . Signal Process., 93 (9): 2525-2528 (2013)cobICA: A concentration-based, immune-inspired algorithm for ICA over Galois fields., , and . CIMSIVP, page 142-149. IEEE, (2014)Numerical characterization of nonlinear dynamical systems using parallel computing: The role of GPUs approach., , , , , , and . Commun. Nonlinear Sci. Numer. Simul., (2016)A multi-objective-based approach for Fair Principal Component Analysis., , , , and . CoRR, (2020)Error entropy criterion in echo state network training., , , , , , , , and . ESANN, (2013)Transfer learning and SpecAugment applied to SSVEP based BCI classification., , and . Biomed. Signal Process. Control., (2021)