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Designing multilayer perceptrons from nearest-neighbor systems

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1 Author(s)
Smyth, S.G. ; BT Lab., Martlesham Heath, UK

Although multilayer perceptrons have been shown to be adept at providing good solutions to many problems, they have a major drawback in the very large amount of time needed for training (for example, on the order of CPU days for some of the author's experiments). The paper describes a method of producing a reasonable starting point by using a nearest-neighbor classifier. The method is further expanded to provide a method of `programming' the upper layer of any network assuming the lower layers already exist

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Neural Networks, IEEE Transactions on  (Volume:3 ,  Issue: 2 )