Fault-tolerant neural architectures: a general approach to concurrent diagnosis based on signature analysis

Diagnosis is a basic issue of any fault-tolerance policy. Fault localization within the neural architecture is necessary to provide information for hardware reconfiguration in order to achieve system survival (possibly with reduced computational capabilities). In this paper, a concurrent approach and distributed schemes for signature compression are proposed and evaluated.