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- W2387692980 abstract "In the research of neural networks,the numbers of the neurons in the input-layer and output-layer are easily fixed with the identification objects.But it is difficut to determine the numbers of hidden-layer and hidden neurons.By employing the knowledge of biologic growth,this paper presents a deriving algorithm based on the neural networks.Firstly,less hidden neurons are chosen to be the original cells;secondly,the network is continually deriving if the target function J dose not change and Je,after the network is trained K-times.This process does not stop until Je.The simulation results show that the deriving algorithm have improves the convergence rates in the training process,corrects the top structure of network automatically,and solves the problem on determining the number of the hidden neurons.The giver algorithm is proved of excellent performance of approximating nonlinear properties.2figs.,2tabs.,7refs." @default.
- W2387692980 created "2016-06-24" @default.
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- W2387692980 date "2001-01-01" @default.
- W2387692980 modified "2023-09-27" @default.
- W2387692980 title "A deriving arithmetic based on Chebyshev neural network" @default.
- W2387692980 hasPublicationYear "2001" @default.
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