과제정보
본 논문은 2021 CONVENTION 논문을 수정·보완하여 작성되었습니다.
참고문헌
- Abambres, M. and Ferreira, A. (2017). Application of ANN in pavement engineering: state-of-art, hal-02066889, Archives ouvertes HAL, pp. 1-61.
- Bieman, J. P., Wilms, J. M., van den Boogaard, H. F. P. and van Gent, M. R. A. (2020). "Prediction of mean wave overtopping discharge using gradient boosting decision trees." Water, Vol. 12, No. 6, pp. 1-13. DOI: https://doi.org/10.3390/w12061703.
- Buchanies, S., Gantowski, M. and Brus, G. (2021). "Integration of classical mathematical modeling with an artificial neural network for the problems with limited dataset." Energies, Vol. 14, No. 16, 5127. DOI: https://doi.org/10.3390/en14165127.
- Choi, B. J., Park, C. W., Cho, Y. H. Kim, D. S. and Lee, K. H. (2020). "A proposal of new breaker index formula using supervised machine learning." Journal of Korean Society of Coastal and Ocean Engineers, Vol. 32, No. 6, pp. 384-395 (in Korean). https://doi.org/10.9765/KSCOE.2020.32.6.384
- Cinelli, I., Anfuso, G., Bartoletti, E., Rossi, L. and Pranzini, E. (2021). "The making of a gravel beach (Cavo, Elba Island, Italy)." Journal of Marine Science and Engineering, Vol. 9, No. 10, pp. 1-17. DOI: https://doi.org/10.3390/jmse 9101148.
- De Veaux, R. D. and Ungar, L. H. (1997). A brief introduction to neural networks, Technical Report, Williams College, Williamstown, MA.
- Ellenson, A. N., Simmons, J. A., Wilson, G. W., Hesser, T. J. and Splinter, K. D. (2020). "Beach state recognition using argus imagery and convolutional neural networks." Remote Sensing, Vol. 12, No. 23, pp. 1-20. DOI: https://doi.org/10.3390/rs12233953.
- Goldstein, E. B., Coco, G. and Plant, N. G. (2019). "A review of machine learning applications to coastal sediment transport and morphodynamics." Earth-Science Reviews, Vol. 194, pp. 97-108. https://doi.org/10.1016/j.earscirev.2019.04.022
- Huang, W. and Simon F. (2002). "Neural network modeling of salinity variation in apalachicola river." Water Research, Vol. 36, No. 1, pp. 356-362. https://doi.org/10.1016/S0043-1354(01)00195-6
- Kim, H. D. and Aoki, S. I. (2021). "Artificial intelligence application on sediment transport." Journal of Marine Science and Engineering, Vol. 9, No. 6, pp. 1-19. DOI: https://doi.org/10.3390/jmse9060600.
- Kim, K. H. and Shim, K. T. (2018). "A study on characteristics of current and sediment transport around permeability artificial reefs." Proceedings of the Twenty-eighth International Ocean and Polar Engineering Conference, Sapporo, Japan, pp. 1314-1319.
- Lee, J. S. and Suh, K. D. (2016). "Calculation of stability number of tetrapods using weights and biases of ann model." Journal of Korean Society of Coastal and Ocean Engineers, Vol. 28, No. 5, pp. 277-283 (in Korean). https://doi.org/10.9765/KSCOE.2016.28.5.277
- Lee, K. H., Kim, T. G. and Kim, D. S. (2020). "Prediction of wave breaking using machine learning open source platform." Journal of Korean Society of Coastal and Ocean Engineers, Vol. 32, No. 4, pp. 262-272 (in Korean). https://doi.org/10.9765/KSCOE.2020.32.4.262
- Phillips, B. T., Brown, J. M. and Plater, A. J. (2020). "Modeling impact of intertidal foreshore evolution on gravel barrier erosion and wave runup with XBeach-X." Journal of Marine Science and Engineering, Vol. 8, No. 11, pp. 1-22. DOI: https://doi.org/10.3390/jmse8110914.
- Shim, K. T., Kim, K. H. and Park J. H. (2019). "The effectiveness of adaptive beach protection methods under wind application." Journal of Marine Science and Engineering, Vol. 7, No. 11, pp. 1-17. DOI: https://doi.org/10.3390/jmse7110385.
- Wei, X., Liu, H., She, X., Lu, Y., Liu, X. and Mo, S. (2019). "Stability assessment of rubble mound breakwaters using extreme learning machine models." Journal of Marine Science and Engineering, Vol. 7, No. 9, pp. 1-17. DOI: https://doi.org/10.3390/jmse7090312.