A projection neural network and its application to constrained optimization problems

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Global convergence of neural networks with discontinuous neuron activations (2003, background): “Said another way, a globally attractive neural network is well suited to solve global optimization problems in real time, as has been demonstrated in a number of practical applications reported in the literature [12], [14], [17].”
Multi-Fidelity Physics-Constrained Neural Network and Its Application in Materials Modeling (2019, background): “For example, quadratic programming problems can be converted to linear complementarity problems and solved iteratively by projection neural networks [13,14].”