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On the principles of dynamic neural units, part I: mechanism, dynamics, and stability.

, , and . Neural Parallel & Scientific Comp., 2 (4): 491-516 (1994)

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A comparison principle for nonlocal coupled systems of fully nonlinear parabolic equations., , and . Appl. Math. Lett., 19 (11): 1272-1277 (2006)On the principles of dynamic neural units, part I: mechanism, dynamics, and stability., , and . Neural Parallel & Scientific Comp., 2 (4): 491-516 (1994)On the principles of dynamic neural units, part II: adaptive synthesis and learning algorithms., , and . Neural Parallel & Scientific Comp., 3 (1): 77-101 (1995)Global attractors for semilinear hyperbolic equations, , and . Chaos, Solitons & Fractals, 37 (4): 1040--1047 (August 2008)Universal approximation using dynamic recurrent neural networks: discrete-time version., , and . ICNN, page 403-408. IEEE, (1995)Robust Artificial Noise Aided Transmit Method for Multicast MISO Wiretap Channels with Imperfect Covariance-Based CSI., , , , and . VTC Spring, page 1-5. IEEE, (2015)RandPeer: Membership Management for QoS Sensitive Peer-to-Peer Applications., and . INFOCOM, IEEE, (2006)Ensembled Tricks for Instance Segmentation., , , , , and . IWCMC, page 1418-1421. IEEE, (2020)Multi-dimensional data visualisation method based on convex-corrected Radviz., , , , , and . Int. J. Comput. Appl. Technol., 63 (1/2): 114-124 (2020)Understanding overlay characteristics of a large-scale peer-to-peer IPTV system., , , and . ACM Trans. Multim. Comput. Commun. Appl., 6 (4): 31:1-31:24 (2010)