论文信息 - Markov availability models on neural networks

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.

Mamoun Suliman | Charles A. Goben

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