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- W2132339916 abstract "A new distributed input coding is derived by distributing the feature variables over a number of input nodes based on the distribution of the training data. Using this coding method representation, the range of each input node will be fully optimised; this enables the network to converge at a higher rate during training. The coding method also enables the network to maintain the generalisation capability of conventional normalisation coding." @default.
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- W2132339916 date "1995-10-12" @default.
- W2132339916 modified "2023-09-25" @default.
- W2132339916 title "Distributed coding for data representation of back-propagation neural network classifiers" @default.
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- W2132339916 doi "https://doi.org/10.1049/el:19951244" @default.
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