Sensitivity to errors in artificial neural networks: a behavioral approach

A behavioral approach to the impact of errors due to faults in neural computation is analyzed. Starting from a geometrical description of errors affecting neural values, we derive the probability of error detection at the neuron's output and at the network's outputs.< >