Markov availability models on neural networks
Abstract Neural networks are employed to realize an availability model of the TMR hardware with fault-coverage and repair. The failure rate and repair rate of the system that satisfy a target pointwise availability are extracted from the weights of the neural network. The structure and results of the simulation algorithm are presented.