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Universal approximation using dynamic recurrent neural networks: discrete-time version.

, , and . ICNN, page 403-408. IEEE, (1995)

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Absolute stability conditions for discrete-time recurrent neural networks., , and . IEEE Trans. Neural Networks, 5 (6): 954-964 (1994)Dynamics and stability of multilayered recurrent neural networks., , and . ICNN, page 1135-1140. IEEE, (1993)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)Universal approximation using dynamic recurrent neural networks: discrete-time version., , and . ICNN, page 403-408. IEEE, (1995)Approximation capability of continuous-time dynamic recurrent neural networks., , and . Neural Parallel & Scientific Comp., 9 (3-4): 239-266 (2001)Kinematic Analysis of a Flexible Six-DOF Parallel Mechanism., , , , , , and . IEEE Trans. Syst. Man Cybern. Part B, 36 (2): 379-389 (2006)Application of the integral manifold concept for the end-effector trajectory tracking of a flexible link manipulator., , and . ACC, page 741-747. IEEE, (2007)Real-Time Optimization and Computation for Interconnected Nonlinear Systems Using Neural Networks., , , and . IEEE ICCI, page 208-213. IEEE Computer Society, (2004)