A sensitivity analysis of a back-propagation neural network for manufacturing process parameters

  title={A sensitivity analysis of a back-propagation neural network for manufacturing process parameters},
  author={D. F. Cook and R. E. Shannon},
  journal={Journal of Intelligent Manufacturing},
Back-propagation neural networks that represent specific process parameters in a composite board manufacturing process were analyzed to determine their sensitivity to network design and to the values of the learning parameters used in the back-propagation algorithm. The effects of the number of hidden layers, the number of nodes in a hidden layer, and the values of the learning rate and momentum factor were studied. Three network modification strategies were applied to evaluate their effect on… Expand
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