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Continuous and discrete Zhang dynamics for real-time varying nonlinear optimization.

, and . Numer. Algorithms, 73 (1): 115-140 (2016)

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Sieve-Decrease Algorithms of Polynomial Neural Networks., and . CSIE (5), page 564-569. IEEE Computer Society, (2009)Discrete-time Zhang neural network of O(τ3) pattern for time-varying matrix pseudoinversion with application to manipulator motion generation., and . Neurocomputing, (2014)ZG Control for Ship Course Tracking with Singularity Considered and Solved., , , , and . DASC, page 352-357. IEEE Computer Society, (2013)Using topological characteristics to evaluate complex network models can be misleading, , and . CoRR, (2010)Bernoulli Neural Network with Weights Directly Determined and with the Number of Hidden- Layer Neurons Automatically Determined., and . ISNN (1), volume 5551 of Lecture Notes in Computer Science, page 36-45. Springer, (2009)Growing Algorithm of Laguerre Orthogonal Basis Neural Network with Weights Directly Determined., , , , and . ICIC (2), volume 5227 of Lecture Notes in Computer Science, page 60-67. Springer, (2008)Zhang-Gradient Controllers of Z0G0, Z1G0 and Z1G1 Types for Output Tracking of Time-Varying Linear Systems with Control-Singularity Conquered Finally., , , , and . ISNN (2), volume 7952 of Lecture Notes in Computer Science, page 533-540. Springer, (2013)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)Uniqueness logic represented via decimal numbers with WASD neural network., , , , and . ICNC, page 18-24. IEEE, (2014)Link from ZD control to pascal's triangle illustrated via multiple-integrator systems., , , , and . ICNC-FSKD, page 2127-2131. IEEE, (2016)