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• W2118262675 abstract "This paper generalizes the cross-entropy error function to improve the EBP (error back propagation) algorithm of multilayer perceptrons. The generalized error function reduces the probability that output nodes are near the wrong extreme value as well as the correct extreme value of sigmoid function. As a result, we can accelerate the learning speed of the EBP algorithm with improved generalization performance. The effectiveness of the proposed method is demonstrated in a handwritten digit recognition task." @default.
• W2118262675 created "2016-06-24" @default.
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• W2118262675 date "2002-11-22" @default.
• W2118262675 modified "2023-09-26" @default.
• W2118262675 title "Generalization of the cross-entropy error function to improve the error backpropagation algorithm" @default.
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• W2118262675 doi "https://doi.org/10.1109/icnn.1997.614181" @default.
• W2118262675 hasPublicationYear "2002" @default.
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