The design of self-organizing Polynomial Neural Networks

@article{Oh2002TheDO,
  title={The design of self-organizing Polynomial Neural Networks},
  author={Sung-Kwun Oh and Witold Pedrycz},
  journal={Inf. Sci.},
  year={2002},
  volume={141},
  pages={237-258}
}
In this study, we introduce and investigate a class of neural architectures of Polynomial Neural Networks (PNNs), discuss a comprehensive design methodology and carry out a series of numeric experiments. PNN is a flexible neural architecture whose structure (topology) is developed through learning. In particular, the number of layers of the PNN is not fixed in advance but becomes generated on the fly. In this sense, PNN is a self-organizing network. The essence of the design procedure dwells on… CONTINUE READING

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