An ANN model of optimizing activation functions based on constructive algorithm and GP

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@InProceedings{Zhang:2010:ICCASM,
  author =       "Sheng Zhang and Xiuyu Shang and Wei Wang",
  title =        "An ANN model of optimizing activation functions based
                 on constructive algorithm and GP",
  booktitle =    "International Conference on Computer Application and
                 System Modeling (ICCASM 2010)",
  year =         "2010",
  month =        "22-24 " # oct,
  volume =       "1",
  pages =        "V1--420--V1--424",
  abstract =     "The importance of the activation functions in ANN is
                 emphasised. A new ANN modelling method is proposed
                 based on constructive algorithm and GP. This method can
                 be used to realise the automatic optimisation of the
                 ANN's net structure and the activation functions. As a
                 result, the ANN's constructure and generalisation
                 capability is greatly improved, it's characteristic is
                 better than the M-P feed forward neural network. This
                 improvement is verified experimentally.",
  keywords =     "genetic algorithms, genetic programming, ANN
                 activation functions, ANN modelling method, artificial
                 neural nets, constructive algorithm, learning
                 (artificial intelligence), neural nets",
  DOI =          "doi:10.1109/ICCASM.2010.5620620",
  notes =        "Also known as \cite{5620620}",
}

Genetic Programming entries for Sheng Zhang Xiuyu Shang Wei Wang

Citations