지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
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초록· 키워드
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Available measured time-series of simultaneous waves and alongshore data sets at Anmok Beach, east coast of Korea, for two periods were chosen to construct artificial neural network. Network inputs are the wave height and the wave direction, and the output is the alongshore current speed. The first period data sets were used for training, and the second period data sets were used for testing. Three neural networks were constructed, i.e. a two-layered one (input and output layers), and two, three-layered ones (one input, one hidden, and output layer). Test results of the two networks show high correlation between predicted and measured data: the three-layered networks show lower correlation coefficient than the two-layered network. The two layers network supplies valuable coefficients which may be used for other empirical formula for the alongshore current speed. The three-layered network also shows reasonable prediction capability of the alongshore current speed when two nodes were used in the hidden layer. The three networks show superior performance on prediction of the alongshore current speeds for measured input variables.
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참고문헌 (22)
참고문헌 신청
Alaboud, T.M. / 2011 / Longshore current velocities prediction: using a neural networks approach / WIT Transactions on Ecology and the Environment 149:189~200
Altunkaynak, A. / 2004 / Temporal significant wave height estimation from wind speed by perceptron Kalman filtering / Ocean Eng. 31(10):1245~1255
ASCE Task Committee / 2000 / The ASCE task committee on application of artificial neural networks in hydrology / J. Hydrol. Eng. 5(2):115~136
Babovic, V. / 2001 / Neural networks as routine for error updating of numerical models / J. Hydraul. Eng. ASCE 127(3):181~193
Cox, D.T. / 2002 / Water level observations and short-term predictions including meteorological events for entrance of Galveston Bay / ASCE Journal of Waterways, Port, Coastal and Ocean Engineering Division, Texas 128(1):21~29
Altunkaynak, A. / 2004 / Temporal significant wave height estimation from wind speed by perceptron Kalman filtering / Ocean Eng. 31(10):1245~1255
ASCE Task Committee / 2000 / The ASCE task committee on application of artificial neural networks in hydrology / J. Hydrol. Eng. 5(2):115~136
Babovic, V. / 2001 / Neural networks as routine for error updating of numerical models / J. Hydraul. Eng. ASCE 127(3):181~193
Cox, D.T. / 2002 / Water level observations and short-term predictions including meteorological events for entrance of Galveston Bay / ASCE Journal of Waterways, Port, Coastal and Ocean Engineering Division, Texas 128(1):21~29
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