Research on fault tolerance based on neural networks

An architecture of fault tolerance based on multi-layer feedforward neural networks is presented in this paper. An algorithm for the fault-tolerance analysis in fault detection is presented based on building a stochastic fault model for feedforward neural networks and analyzing the features fault propagation. A controller for fault-tolerance is designed by controller reconfiguration. Satisfactory simulation results show that this architecture of redundancy has a much higher reliability.