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- W2356369852 abstract "A PSO algorithm was applied to optimized weights of recurrent neural network, and a system identification model with recurrent network was proposed based on PSO algorithm. Using real test data of an aero-engine as learning sample, the α1 following control system was efficiently identified. The result shows that the algorithm isn’t sensitive to initial weights, and has a higher precision compared with least square method and RBF network identification model." @default.
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- W2356369852 date "2008-01-01" @default.
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- W2356369852 title "Aero-engine Following System Identification with Recurrent Neural Network Based on PSO Algorithm" @default.
- W2356369852 hasPublicationYear "2008" @default.
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