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Neural Computation, Vol 7, 1245-1264, Copyright © 1995 by The MIT Press
ARTICLES |
C Campbell and CP Vicente
Advanced Computing Research Centre, Bristol University, United Kingdom.
We propose an efficient procedure for constructing and training a feed- forward neural network. The network can perform binary classification for binary or analogue input data. We show that the procedure can also be used to construct feedforward neural networks with binary-valued weights. Neural networks with binary-valued weights are potentially straightforward to implement using microelectronic or optical devices and they can also exhibit good generalization.
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