Abstract: This article presents a novel proximal gradient neurodynamic network (PGNN) for solving composite optimization problems (COPs). The proposed PGNN with time-varying coefficients can be ...
Many problems connected with processing of redundant measurement data have a nonlinear character. To solve these problems with in the stochastic approach, the developers apply different suboptimal ...
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