ijcnn2017

There are 0 repository under ijcnn2017 topic.

• FrancescoCrecchi / DropIn-ESN

  This repository contains the code used to produce the results presented in the IJCNN 2017 paper "DropIn: Making Reservoir Computing Neural Networks Robust to Missing Inputs by Dropout" by D. Bacciu, F. Crecchi (University of Pisa) and D. Morelli (Biobeats LTD).

  drop-indropoutecho-state-networksijcnn2017machine-learningresearch-paper
  Language:Matlab 8