인공신경망 활용 연안류 유속 계산

• 영문명: Construction of Artificial Neural Network for Alongshore Current Speed
• 발행기관: 한국연안방재학회
• 저자명: 김효섭(Hyoseob Kim) 이정익(Jungik Lee) 임학수(Hak-Soo Lim)
• 간행물 정보: 『한국연안방재학회지』제5권 제1호, 25~35쪽, 전체 11쪽
• 주제분류: 사회과학 > 사회과학일반
• 파일형태: PDF
• 발행일자: 2018.01.30

영문 초록

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.

목차

1. 서론

2. 활용할 자료

3. 2열 신경망 구성 ([신경망Ⅰ])

4. 3열망 신경망

5. 결론

키워드

neural network current velocity alongshore current wave-induced current