인공신경망 활용 연안류 유속 계산 KCI OTHER

Title
인공신경망 활용 연안류 유속 계산
Alternative Title
Construction of Artificial Neural Network for Alongshore Current Speed
Author(s)
김효섭; 이정익; 임학수
KIOST Author(s)
Lim, Hak Soo(임학수)
Publication Year
2018-01
Abstract
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.
ISSN
2288-7903
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/1031
DOI
10.20481/kscdp.2018.5.1.25
Bibliographic Citation
한국연안방재학회지, v.5, no.1, pp.25 - 35, 2018
Publisher
(사)한국연안방재학회
Keywords
neural network; current velocity; alongshore current; wave-induced current
Type
Article
Language
Korean
Publisher
(사)한국연안방재학회
Related Researcher
Research Interests

Coastal Disaster Prevention,Coastal Erosion Research,Coastal Ocean Modeling,연안재해방재,연안침식연구,연안해양모델링

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