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| Prediction of Wave Transmission Characteristics of Low Crested Structures Using Artificial Neural Network |
| Taeyoon Kim, Woo-Dong Lee, Yongju Kwon, Jongyeong Kim, Byeonggug Kang, Soonchul Kwon |
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J. Ocean Eng. Technol.. 2022;36(5):313-325. Published online September 29, 2022 DOI: https://doi.org/10.26748/KSOE.2022.024 |
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Prediction of Wave Transmission Characteristics of Low Crested Structures Using Artificial Neural Network Journal of Ocean Engineering and Technology. 2022;36(5):313-325  Prediction of Wave Transmission Characteristics of Low-Crested Structures with Comprehensive Analysis of Machine Learning Sensors. 2021;21(24):8192 Analysis of wave transmission behind low-crested breakwaters using neural networks Coastal Engineering. 2007;54(9):643-656 Transmission of wave energy at permeable low crested structures Coastal Engineering. 2008;55(12):1135-1147 Evaluation of Wave Transmission Coefficient at Low Crested Structures in 3D Conditions Using Residual Analysis Environmental Processes. 2017;4(S1):277-291 Prediction of fire resistance of concrete encased steel composite columns using artificial neural network Engineering Structures. 2021;245:112877 Shear wave velocity prediction using Elman artificial neural network Carbonates and Evaporites. 2017;34(4):1281-1291 Wave transmission and reflection at low-crested structures: Design formulae, oblique wave attack and spectral change Coastal Engineering. 2005;52(10-11):915-929 Fault prediction in transmission line using GOOSE protocol and Artificial Neural Network 2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT). 2021; Prediction of cooking characteristics of moisture conditioned and infrared heated cowpea using Artificial neural network . 2022; |
