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Solving for Inverse-Like Dynamic Matrices of Variables and Derivatives Using Zhang Neural Dynamics (ZND) Equivalency.

, , and . ICSAI, page 967-972. IEEE, (2019)

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A continuous-time model and simulative verifications of Zhang-gradient type Zhang reciprocal for time-varying numbers., , , , and . ICNC, page 750-754. IEEE, (2013)Solving for time-varying and static cube roots in real and complex domains via discrete-time ZD models., , , and . Neural Comput. Appl., 23 (2): 255-268 (2013)Recurrent neural networks for nonlinear output regulation., and . Autom., 37 (8): 1161-1173 (2001)Predicting Potential Years of Most Costly War Involving USA via ASF Approach., , , and . ICNC-FSKD, volume 1074 of Advances in Intelligent Systems and Computing, page 481-490. Springer, (2019)Multi-start Stochastic Competitive Hopfield Neural Network for p-Median Problem., , , , and . ISNN (1), volume 5551 of Lecture Notes in Computer Science, page 75-83. Springer, (2009)Solving for Inverse-Like Dynamic Matrices of Variables and Derivatives Using Zhang Neural Dynamics (ZND) Equivalency., , and . ICSAI, page 967-972. IEEE, (2019)New 5-Step Discrete-Time Zeroing Neuronet for Time-Dependent Matrix Square Root Finding., , , , , and . ICSAI, page 943-949. IEEE, (2019)Modeling and Verification of Zhang Neural Networks for Online Solution of Time-Varying Quadratic Minimization and Programming., , and . ISICA, volume 5821 of Lecture Notes in Computer Science, page 101-110. Springer, (2009)Robot 1LpMD system output control using ZD method with four-state space representation., , , , and . ICSAI, page 67-72. IEEE, (2016)Random Scaling of Quasi-Newton BFGS Method to Improve the O(N2)-operation Approximation of Covariance-matrix Inverse in Gaussian Process., , and . ISIC, page 452-457. IEEE, (2007)