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New discrete-time ZNN models and numerical algorithms derived from a new Zhang function for time-varying linear equations solving.

, , , , and . ICNC, page 222-226. IEEE, (2013)

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Simulation Verifications of ZND Control for Dynamics-Included Robot Systems Extended from One Link to Multiple Links., , , , and . SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, page 1071-1076. IEEE, (2018)More than Newton iterations generalized from Zhang neural network for constant matrix inversion aided with line-search algorithm., , , , and . ICCA, page 399-404. IEEE, (2010)Apply signum-activated WASD neuronet to learning XOR logic via noisy input and output data., , , , and . ICACI, page 158-163. IEEE, (2015)Zhang equivalence of different-level robotic schemes: An MVN case study based on PA10 robot manipulator., , , , and . ROBIO, page 1592-1597. IEEE, (2013)GD controller of type Z0G1 and sigmoid-function limited controller of type Z0G1SFL for linear time-invariant system output-tracking control., , , , and . ICSAI, page 35-39. IEEE, (2017)Zhang Neural Network for Online Solution of Time-Varying Sylvester Equation., , and . ISICA, volume 4683 of Lecture Notes in Computer Science, page 276-285. Springer, (2007)Complex-valued Zhang neural network for online complex-valued time-varying matrix inversion., , and . Appl. Math. Comput., 217 (24): 10066-10073 (2011)Discrete-time zeroing neural network for solving time-varying Sylvester-transpose matrix inequation via exp-aided conversion., , , , and . Neurocomputing, (2020)Zhang neural network, Getz-Marsden dynamic system, and discrete-time algorithms for time-varying matrix inversion with application to robots' kinematic control., and . Neurocomputing, (2012)Time series forecasting via weighted combination of trend and seasonality respectively with linearly declining increments and multiple sine functions., , , , and . IJCNN, page 832-837. IEEE, (2014)