Digital Library
Search: "[ keyword: Activation Function ]" (5)
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

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

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

Keywords: deep neural network, Vanishing Gradient Problem, Parametric Activation Function, Backpropagation, Learning
A Performance Comparison of Super Resolution Model with Different Activation Functions
Youngjun Yoo, Daehee Kim, Jaekoo Lee KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 10, pp. 303-308,
Oct.
2020
https://doi.org/10.3745/KTSDE.2020.9.10.303
Keywords: Super Resolution, Performance Comparison, EDSR, Activation Function

Keywords: Super Resolution, Performance Comparison, EDSR, Activation Function
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

Keywords: Convolutional Neural Network, Agile Activation Function, Backpropagation, Learning
Category Search
Publications
-
Vol. 13, 2024
-
Vol. 12, 2023
- Vol. 12, No. 12 (Dec. 2023)
- Vol. 12, No. 11 (Nov. 2023)
- Vol. 12, No. 10 (Oct. 2023)
- Vol. 12, No. 9 (Sep. 2023)
- Vol. 12, No. 8 (Aug. 2023)
- Vol. 12, No. 7 (Jul. 2023)
- Vol. 12, No. 6 (Jun. 2023)
- Vol. 12, No. 5 (May. 2023)
- Vol. 12, No. 4 (Apr. 2023)
- Vol. 12, No. 3 (Mar. 2023)
- Vol. 12, No. 2 (Feb. 2023)
- Vol. 12, No. 1 (Jan. 2023)
-
Vol. 11, 2022
- Vol. 11, No. 12 (Dec. 2022)
- Vol. 11, No. 11 (Nov. 2022)
- Vol. 11, No. 10 (Oct. 2022)
- Vol. 11, No. 9 (Sep. 2022)
- Vol. 11, No. 8 (Aug. 2022)
- Vol. 11, No. 7 (Jul. 2022)
- Vol. 11, No. 6 (Jun. 2022)
- Vol. 11, No. 5 (May. 2022)
- Vol. 11, No. 4 (Apr. 2022)
- Vol. 11, No. 3 (Mar. 2022)
- Vol. 11, No. 2 (Feb. 2022)
- Vol. 11, No. 1 (Jan. 2022)
-
Vol. 10, 2021
- Vol. 10, No. 12 (Dec. 2021)
- Vol. 10, No. 11 (Nov. 2021)
- Vol. 10, No. 10 (Oct. 2021)
- Vol. 10, No. 9 (Sep. 2021)
- Vol. 10, No. 8 (Aug. 2021)
- Vol. 10, No. 7 (Jul. 2021)
- Vol. 10, No. 6 (Jun. 2021)
- Vol. 10, No. 5 (May. 2021)
- Vol. 10, No. 4 (Apr. 2021)
- Vol. 10, No. 3 (Mar. 2021)
- Vol. 10, No. 2 (Feb. 2021)
- Vol. 10, No. 1 (Jan. 2021)
-
Vol. 9, 2020
- Vol. 9, No. 12 (Dec. 2020)
- Vol. 9, No. 11 (Nov. 2020)
- Vol. 9, No. 10 (Oct. 2020)
- Vol. 9, No. 9 (Sep. 2020)
- Vol. 9, No. 8 (Aug. 2020)
- Vol. 9, No. 7 (Jul. 2020)
- Vol. 9, No. 6 (Jun. 2020)
- Vol. 9, No. 5 (May. 2020)
- Vol. 9, No. 4 (Apr. 2020)
- Vol. 9, No. 3 (Mar. 2020)
- Vol. 9, No. 2 (Feb. 2020)
- Vol. 9, No. 1 (Jan. 2020)
-
Vol. 8, 2019
- Vol. 8, No. 12 (Dec. 2019)
- Vol. 8, No. 11 (Nov. 2019)
- Vol. 8, No. 10 (Oct. 2019)
- Vol. 8, No. 9 (Sep. 2019)
- Vol. 8, No. 8 (Aug. 2019)
- Vol. 8, No. 7 (Jul. 2019)
- Vol. 8, No. 6 (Jun. 2019)
- Vol. 8, No. 5 (May. 2019)
- Vol. 8, No. 4 (Apr. 2019)
- Vol. 8, No. 3 (Mar. 2019)
- Vol. 8, No. 2 (Feb. 2019)
- Vol. 8, No. 1 (Jan. 2019)
-
Vol. 7, 2018
- Vol. 7, No. 12 (Dec. 2018)
- Vol. 7, No. 11 (Nov. 2018)
- Vol. 7, No. 10 (Oct. 2018)
- Vol. 7, No. 9 (Sep. 2018)
- Vol. 7, No. 8 (Aug. 2018)
- Vol. 7, No. 7 (Jul. 2018)
- Vol. 7, No. 6 (Jun. 2018)
- Vol. 7, No. 5 (May. 2018)
- Vol. 7, No. 4 (Apr. 2018)
- Vol. 7, No. 3 (Mar. 2018)
- Vol. 7, No. 2 (Feb. 2018)
- Vol. 7, No. 1 (Jan. 2018)
-
Vol. 6, 2017
- Vol. 6, No. 12 (Dec. 2017)
- Vol. 6, No. 11 (Nov. 2017)
- Vol. 6, No. 10 (Oct. 2017)
- Vol. 6, No. 9 (Sep. 2017)
- Vol. 6, No. 8 (Aug. 2017)
- Vol. 6, No. 7 (Jul. 2017)
- Vol. 6, No. 6 (Jun. 2017)
- Vol. 6, No. 5 (May. 2017)
- Vol. 6, No. 4 (Apr. 2017)
- Vol. 6, No. 3 (Mar. 2017)
- Vol. 6, No. 2 (Feb. 2017)
- Vol. 6, No. 1 (Jan. 2017)
-
Vol. 5, 2016
- Vol. 5, No. 12 (Dec. 2016)
- Vol. 5, No. 11 (Nov. 2016)
- Vol. 5, No. 10 (Oct. 2016)
- Vol. 5, No. 9 (Sep. 2016)
- Vol. 5, No. 8 (Aug. 2016)
- Vol. 5, No. 7 (Jul. 2016)
- Vol. 5, No. 6 (Jun. 2016)
- Vol. 5, No. 5 (May. 2016)
- Vol. 5, No. 4 (Apr. 2016)
- Vol. 5, No. 3 (Mar. 2016)
- Vol. 5, No. 2 (Feb. 2016)
- Vol. 5, No. 1 (Jan. 2016)
-
Vol. 4, 2015
- Vol. 4, No. 12 (Dec. 2015)
- Vol. 4, No. 11 (Nov. 2015)
- Vol. 4, No. 10 (Oct. 2015)
- Vol. 4, No. 9 (Sep. 2015)
- Vol. 4, No. 8 (Aug. 2015)
- Vol. 4, No. 7 (Jul. 2015)
- Vol. 4, No. 6 (Jun. 2015)
- Vol. 4, No. 5 (May. 2015)
- Vol. 4, No. 4 (Apr. 2015)
- Vol. 4, No. 3 (Mar. 2015)
- Vol. 4, No. 2 (Feb. 2015)
- Vol. 4, No. 1 (Jan. 2015)
-
Vol. 3, 2014
- Vol. 3, No. 12 (Dec. 2014)
- Vol. 3, No. 11 (Nov. 2014)
- Vol. 3, No. 10 (Oct. 2014)
- Vol. 3, No. 9 (Sep. 2014)
- Vol. 3, No. 8 (Aug. 2014)
- Vol. 3, No. 7 (Jul. 2014)
- Vol. 3, No. 6 (Jun. 2014)
- Vol. 3, No. 5 (May. 2014)
- Vol. 3, No. 4 (Apr. 2014)
- Vol. 3, No. 3 (Mar. 2014)
- Vol. 3, No. 2 (Feb. 2014)
- Vol. 3, No. 1 (Jan. 2014)
-
Vol. 2, 2013
- Vol. 2, No. 12 (Dec. 2013)
- Vol. 2, No. 11 (Nov. 2013)
- Vol. 2, No. 10 (Oct. 2013)
- Vol. 2, No. 9 (Sep. 2013)
- Vol. 2, No. 8 (Aug. 2013)
- Vol. 2, No. 7 (Jul. 2013)
- Vol. 2, No. 6 (Jun. 2013)
- Vol. 2, No. 5 (May. 2013)
- Vol. 2, No. 4 (Apr. 2013)
- Vol. 2, No. 3 (Mar. 2013)
- Vol. 2, No. 2 (Feb. 2013)
- Vol. 2, No. 1 (Jan. 2013)
-
Vol. 1, 2012
Old Journals
Indexing
All publications of KTSDE is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.
KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).