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- W2376274715 abstract "In order to improve the performance of BP neural networks,the network weight matrix W and the parameters T,θ of neuron's tan-sigmoid transfer function are adjusted.Information is stored in the weight matrix and the transfer functions dispersedly.The improved algorithm has stronger nonlinear mapping capability than traditional algorithm.The final formula of the improved algorithm is presented after rigorous mathematical deducing.An example of demand forecast is presented.The result indicates that the improved algorithm can reduce the nodes of hidden layer,accelerate the convergence and improve the convergence precision effectively." @default.
- W2376274715 created "2016-06-24" @default.
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- W2376274715 date "2006-01-01" @default.
- W2376274715 modified "2023-09-24" @default.
- W2376274715 title "Improved Algorithm of BP Neural Networks Based on Parameters Adjustment of Tan-Sigmoid Transfer Function" @default.
- W2376274715 hasPublicationYear "2006" @default.
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