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Search: "[ keyword: Fully Connected Neural Network ]" (2)
Analyzing the Impact of Multivariate Inputs on Deep Learning-Based Reservoir Level Prediction and Approaches for Mid to Long-Term Forecasting
Hyeseung Park, Jongwook Yoon, Hojun Lee, Hyunho Yang The Transactions of the Korea Information Processing Society,
Vol. 13, No. 4, pp. 199-207,
Apr.
2024
https://doi.org/10.3745/TKIPS.2024.13.4.199
Keywords: Reservoir Water Level Prediction, Fully Connected Neural Network, Multivariate Inputs
https://doi.org/10.3745/TKIPS.2024.13.4.199
Keywords: Reservoir Water Level Prediction, Fully Connected Neural Network, Multivariate Inputs
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
https://doi.org/10.3745/KTSDE.2022.11.1.1
Keywords: Fully Connected Neural Network, Nonlinear Activation Function, Combined Parametric Activation Function, Learning
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Vol. 13, 2024
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Vol. 12, 2023
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Vol. 11, 2022
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Vol. 1, 2012
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KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
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