Error and Variance Bounds on Sigmoidal Neuronswith Weight and Input

  • ErrorsDavid Lovell, Peter Bartlett, Tom DownsIntelligent
  • Published 1992
We derive bounds on the expectation and variance of errors at the output of a multi-layer feedforward neural network with perturbed weights and inputs. It is assumed that errors in weights and inputs to the network are statistically independent and small. The bounds obtained are applicable to both digital and analog network implementations and are shown to… CONTINUE READING