Switching Neural Networks: A New Connectionist Model for Classification

@inproceedings{Muselli2005SwitchingNN,
  title={Switching Neural Networks: A New Connectionist Model for Classification},
  author={Marco Muselli},
  booktitle={WIRN/NAIS},
  year={2005}
}
A new connectionist model, called Switching Neural Network (SNN), for the solution of classification problems is presented. SNN includes a first layer containing a particular kind of A/D converters, called latticizers, that suitably transform input vectors into binary strings. Then, the subsequent two layers of an SNN realize a positive Boolean function that solve in a lattice domain the original classification problem. Every function realized by an SNN can be written in terms of intelligible… CONTINUE READING
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