Learning the reversed-wedge problem using a multi-interacting perceptron with correlated weights

@inproceedings{Botelho1998LearningTR,
  title={Learning the reversed-wedge problem using a multi-interacting perceptron with correlated weights},
  author={Elis{\^a}ngela Botelho},
  year={1998}
}
We consider the task of learning the so-called reversed-wedge problem, using a multi-interacting perceptron with first- and third-order synap-ses, where the third-order synaptic couplings are expressed as products of the first-order synapses associated to the neurons involved in the corresponding multi-interaction. This correlation condition allows the training of the multi-interacting perceptron to be achieved by adjusting the set of first-order weights, in such a way that the learning rates… CONTINUE READING