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- W1540849649 abstract "The network size for a multilayer perceptron neural network is often chosen arbitrarily for different applications, and the optimum size of the network is determined by a long process of trial and error. This paper presents a backpropagation algorithm. For a multilayer perceptron (MLP) neural network, that dynamically determines the optimum number of hidden nodes and applies a new pruning technique on output weights. A 29% reduction in the total number of output weights was observed for a handwritten character recognition problem using the new pruning algorithm." @default.
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- W1540849649 date "2002-11-23" @default.
- W1540849649 modified "2023-09-26" @default.
- W1540849649 title "Dynamically pruning output weights in an expanding multilayer perceptron neural network" @default.
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- W1540849649 doi "https://doi.org/10.1109/icdsp.1997.628530" @default.
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