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- W2381121107 abstract "Gradient algorithm has been widely used for training the weights of feedforward neural networks. The convergence of the gradient algorithm for feedforward neural networks with one output unit has thoroughly studied. The convergence of gradient algorithm for a three-layer BP neural network with multiple output units is studied. The weak and strong convergence results of the corresponding gradient algorithm and the monotonicity of the error function in the iteration weighted vectors are proved." @default.
- W2381121107 created "2016-06-24" @default.
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- W2381121107 date "2006-01-01" @default.
- W2381121107 modified "2023-09-24" @default.
- W2381121107 title "Convergence of gradient algorithm for BP neural network with multiple output units" @default.
- W2381121107 hasPublicationYear "2006" @default.
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