A Novel Pruning Algorithm for Optimizing Feedforward Neural Network of Classification Problems

@article{Augasta2011ANP,
  title={A Novel Pruning Algorithm for Optimizing Feedforward Neural Network of Classification Problems},
  author={M. Gethsiyal Augasta and T. Kathirvalavakumar},
  journal={Neural Processing Letters},
  year={2011},
  volume={34},
  pages={241-258}
}
Optimizing the structure of neural networks is an essential step for the discovery of knowledge from data. This paper deals with a new approach which determines the insignificant input and hidden neurons to detect the optimum structure of a feedforward neural network. The proposed pruning algorithm, called as neural network pruning by significance (N2PS), is based on a new significant measure which is calculated by the Sigmoidal activation value of the node and all the weights of its outgoing… CONTINUE READING
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