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