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- W2380806177 abstract "A design method based on Bayesian-Gaussian neural network(BGNN) is proposed for the inverse modeling problem of nonlinear system.The training procedures of the BGNN model include two steps.The structure parameters of the BGNN model are optimized by using the swarm intelligence optimization algorithm.Furthermore,the trained BGNN model combining with the history data is applied to the on-line prediction of the nonlinear system inverse model.The inverse model simulation experiments are conducted on a nonlinear system of hydraulic turbine,and the results show that the inverse model design method based on BGNN has the easy topology determination and effective identification accuracy,and it is fit for nonlinear system inverse model design." @default.
- W2380806177 created "2016-06-24" @default.
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- W2380806177 date "2010-01-01" @default.
- W2380806177 modified "2023-09-23" @default.
- W2380806177 title "Inverse model design of nonlinear digital system based on Bayesian-Gaussian neural network" @default.
- W2380806177 hasPublicationYear "2010" @default.
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