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Guest Editorial Special Issue on Neurodynamic Systems for Optimization and Applications.

, , , , and . IEEE Trans. Neural Networks Learn. Syst., 27 (2): 210-213 (2016)

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An analysis of the CCA approach for blind source separation and its adaptive realization., , and . ISCAS, IEEE, (2006)Sequential nonnegative tucker decomposition on multi-way array of time-frequency transformed event-related potentials., , , , , , and . MLSP, page 1-6. IEEE, (2012)Bayesian Robust Tensor Factorization for Incomplete Multiway Data., , , , and . IEEE Trans. Neural Networks Learn. Syst., 27 (4): 736-748 (2016)A Note on Lewicki-Sejnowski Gradient for Learning Overcomplete Representations., , , and . Neural Comput., 20 (3): 636-643 (2008)Linked PARAFAC/CP Tensor Decomposition and Its Fast Implementation for Multi-block Tensor Analysis., , and . ICONIP (3), volume 7665 of Lecture Notes in Computer Science, page 84-91. Springer, (2012)On-line Adaptive Algorithms for Blind Equalization of Multi-Channel Systems., , and . ICONIP (1), page 649-652. Springer, (1997)A Novel Deep Learning Approach With Data Augmentation to Classify Motor Imagery Signals., , , , , , and . IEEE Access, (2019)Self-Weighted Semi-Supervised Classification for Joint EEG-Based Emotion Recognition and Affective Activation Patterns Mining., , , , , , and . IEEE Trans. Instrum. Meas., (2021)Partitioned Alternating Least Squares Technique for Canonical Polyadic Tensor Decomposition., , and . IEEE Signal Process. Lett., 23 (7): 993-997 (2016)Tensor Decompositions: A New Concept in Brain Data Analysis?. CoRR, (2013)