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Search: "[ author: Young Min Ko ]" (4)
    Performance Improvement Method of Convolutional Neural Network Using Combined Parametric Activation Functions
    Young Min Ko, Peng Hang Li, Sun Woo Ko KIPS Transactions on Software and Data Engineering, Vol. 11, No. 9, pp. 371-380, Sep. 2022
    https://doi.org/10.3745/KTSDE.2022.11.9.371
    Keywords: Convolutional Neural Network, Nonlinear Activation Function, Combined Parametric Activation Function, Loss Function


    Performance Improvement Method of Fully Connected Neural Network Using Combined Parametric Activation Functions
    Young Min Ko, Peng Hang Li, Sun Woo Ko KIPS Transactions on Software and Data Engineering, Vol. 11, No. 1, pp. 1-10, Jan. 2022
    https://doi.org/10.3745/KTSDE.2022.11.1.1  
    Keywords: Fully Connected Neural Network, Nonlinear Activation Function, Combined Parametric Activation Function, Learning


    Alleviation of Vanishing Gradient Problem Using Parametric Activation Functions
    Young Min Ko, Sun Woo Ko KIPS Transactions on Software and Data Engineering, Vol. 10, No. 10, pp. 407-420, Oct. 2021
    https://doi.org/10.3745/KTSDE.2021.10.10.407
    Keywords: deep neural network, Vanishing Gradient Problem, Parametric Activation Function, Backpropagation, Learning


    Performance Improvement Method of Convolutional Neural Network Using Agile Activation Function
    Na Young Kong, Young Min Ko, Sun Woo Ko KIPS Transactions on Software and Data Engineering, Vol. 9, No. 7, pp. 213-220, Jul. 2020
    https://doi.org/10.3745/KTSDE.2020.9.7.213  
    Keywords: Convolutional Neural Network, Agile Activation Function, Backpropagation, Learning


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