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- W2352167929 abstract "The capabilities of neural networks are influenced by the learning algorithms and the topologies.Thus,in order to solve the problem of dynamic topologies,a new design method for dynamic structure of neural network is proposed in this paper.The dynamic design for neural network is based on the sensitivity analysis(SA)of the model output.This algorithm can delete the nodes in the hidden layer whose contribution ratios are too little;and add new nodes to the hidden layer whose ratios are too large relied on the the nearest neighbor interpolation.Finally,This proposed algorithm is used to track the nonlinear functions and predict the nonlinear systems,the results demonstrate the good effect of the dynamic feed-forward neural network(SAFNN)." @default.
- W2352167929 created "2016-06-24" @default.
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- W2352167929 date "2010-01-01" @default.
- W2352167929 modified "2023-09-25" @default.
- W2352167929 title "Design of Dynamic Neural Network Based on the Sensitivity Analysis of Model Output" @default.
- W2352167929 hasPublicationYear "2010" @default.
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