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- W2375821101 abstract "Structural learning scheme with growing and pruning functions is developed for radial basis function network, which uses growing criterion of resource allocation network and combines pruning strategy of hidden units. Nonlinear time series are modeled and the nonlinear force in vibration system is identified using this scheme. Results show that network structural learning algorithm proposed in this paper is effective; RBF network can model nonlinear time series with high precision; neural network identification scheme for unknown nonlinear force in vibration system is feasible." @default.
- W2375821101 created "2016-06-24" @default.
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- W2375821101 date "1999-01-01" @default.
- W2375821101 modified "2023-09-25" @default.
- W2375821101 title "Improved of the identification of nonlinear dynamic system based on RBF neural networks" @default.
- W2375821101 hasPublicationYear "1999" @default.
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