Device and method for transferring knowledge of an artificial neural network

A system for generating training data for transferring knowledge from a trained artificial neural network to a further artificial neural network, the system comprising a data generator configured to:

• a) inject a first sample into the trained artificial neural network, the first sample being a real sample or a random sample, wherein the trained artificial neural network has been trained using a dataset of sensor data and is configured to implement at least an auto-associative function for replicating input samples at one or more of its outputs to provide a replicated sample;
• b) reinject a pseudo sample, generated based on the replicated sample present at the one or more outputs of the trained artificial neural network, into the trained artificial neural network in order to generate a new replicated sample at the one or more outputs;
• and
• c) repeating b) one or more times to generate a plurality of reinjected pseudo samples;
• providing at least two of said reinjected pseudo samples originating from the first sample and corresponding at least two output values generated by the trained artificial neural network to the further artificial network for training the further artificial neural network.