A structure optimisation algorithm for feedforward neural network construction

@article{Han2013ASO,
  title={A structure optimisation algorithm for feedforward neural network construction},
  author={Hong-gui Han and Junfei Qiao},
  journal={Neurocomputing},
  year={2013},
  volume={99},
  pages={347-357}
}
This paper proposes a constructing-and-pruning (CP) approach to optimise the structure of a feedforward neural network (FNN) with a single hidden layer. The number of hidden nodes or neurons is determined by their contribution ratios, which are calculated using a Fourier decomposition of the variance of the FNN’s output. Hidden nodes with sufficiently small contribution ratios will be This procedure is similar to the growing and pruning processes observed in biological neural networks. The… CONTINUE READING