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IEEE

New RNN Algorithms for Different Time-Variant Matrix Inequalities Solving Under Discrete-Time Framework

Abstract: A series of discrete time-variant matrix inequalities is generally regarded as one of the challenging problems in science and engineering fields. As a discrete time-variant problem, the ...
IEEE

New Double Integral Reinforcing Recurrent Neural Network for Solving Matrix Pseudoinverse Problem

Abstract: Recurrent neural network (RNN) is a neurodynamic method designed to tackle time-varying problems in various technical domains, which are widely derived from scientific research and practical ...