Solving the Quadratic Programming Problem Using a Recurrent Neural Network
Abstract:In this paper, a fuzzy recurrent neural network is proposed for solving the classical quadratic control problem subject to linear equality and bound constraints. The convergence of the state variables of the proposed neural network to achieve solution optimality is guaranteed.
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