The ‘Mad Men’ have finally left the building. With legendary networks dissolving into data-driven super-structures, industry leaders ask if the golden age of the ‘Big Idea’ is over and if the ...
Abstract: In this paper, we propose a new noise-tolerant neurodynamic algorithm with fixed-time convergence to solve mixed variational inequality problems (MVIPs) and design the circuit framework for ...
Abstract: This paper develops several new dynamical designs, based on the gradient neural network (GNN), from the perspective of control theory to solve the time-varying Sylvester equation (TVSE). We ...
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