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Time Recurrence Analysis of a Near Singular Billiard
(Mdpi, 2019-06-01)
Billiards exhibit rich dynamical behavior, typical of Hamiltonian systems. In the present study, we investigate the classical dynamics of particles in the eccentric annular billiard, which has a mixed phase space, in the ...
A discontinuous recurrent neural network with predefined time convergence for solution of linear programming
(Institute of Electrical and Electronics Engineers, 2014-12-09)
A recurrent neural network for real time electrical microgrid prototype optimization
(Institute of Electrical and Electronics Engineers, 2014-07-06)
Recurrent neural networks with fixed time convergence for linear and quadratic programming
(Institute of Electrical and Electronics Engineers, 2013-08-04)
Recurrent neural networks with fixed time convergence for linear and quadratic programming
(Institute of Electrical and Electronics Engineers, 2013-08-04)
A discontinuous recurrent neural network with predefined time convergence for solution of linear programming
(Institute of Electrical and Electronics Engineers, 2014-12-09)
Kalman Filter-Trained Recurrent Neural Equalizers for Time-Varying Channels
(Institute of Electrical and Electronics Engineers, 2005-03)
Large deviations for short recurrence
(Amer Inst Mathematical SciencesSpringfieldEUA, 2008)
Kalman Filter-Trained Recurrent Neural Equalizers for Time-Varying Channels
(Institute of Electrical and Electronics Engineers, 2005-03)
Recurrent neural networks (RNNs) have been successfully applied to communications channel equalization because of their modeling capability for nonlinear dynamic systems. Major
problems of gradient-descent learning techniques ...