On-line testing in digital neural networks

Abstract

On-line testing is a basic issue of any concurrent fault-tolerance policy. Error localisation within the neural network is necessary to provide information for hardware reconfiguration in order to achieve the system survival. In this paper, a concurrent approach for error localisation in digital neural networks is discussed and evaluated. Two techniques are applied: concurrent diagnosis with the use of data coding for error detection at neuron level and on-line localisation of the faulty neuron within the network.