ijcnn2017

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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).

machine-learning dropout echo-state-networks research-paper drop-in ijcnn2017

Updated May 15, 2017
MATLAB

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ijcnn2017

Here is 1 public repository matching this topic...

FrancescoCrecchi / DropIn-ESN

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