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- W1528818881 abstract "This paper presents an efficient neural network for solving constrained nonlinear optimization problems. More specifically, a two-stage neural network architecture is developed and its internal parameters are computed using the valid-subspace technique. The main advantage of the developed network is that it treats optimization and constraint terms in different stages with no interference with each other. Moreover, the proposed approach does not require specification of penalty or weighting parameters for its initialization." @default.
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- W1528818881 date "2004-01-01" @default.
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- W1528818881 title "Implementation of Two-Stage Hopfield Model and Its Application in Nonlinear Systems" @default.
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- W1528818881 doi "https://doi.org/10.1007/978-3-540-24844-6_148" @default.
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