인공신경망 기반 태풍 월파예측모델 개발

• 영문명: Development of a typhoon wave overtopping prediction model based on an artificial neural network
• 발행기관: 한국연안방재학회
• 저자명: 김승우 이황기 최혁진
• 간행물 정보: 『한국연안방재학회지』제10권 제1호, 25~33쪽, 전체 9쪽
• 주제분류: 사회과학 > 사회과학일반
• 파일형태: PDF
• 발행일자: 2023.01.31

영문 초록

In this study, an artificial neural network (ANN) model for the typhoon wave overtopping was developed using the database by a numerical wave flume simulation. The developed ANN model is effective for saving calculation time largely. The accuracy of the model is also approached to over 95% of the numerical simulation. This accuracy was evaluated by the correlation coefficient and the root mean square error with the target data of the numerical simulation and output of the ANN model. This model quickly produces the mean wave overtopping rate, maximum wave run-up height, maximum wave overtopping depth and velocity at the middle point in the coastal road without high-fidelity numerical model and high-computing resources. It means that the typhoon warning system including the ANN models is powerful and useful rather than only the monitoring warning system currently in use.

목차

1. 서 론

2. 연구방법

3. 연구결과

4. 결 론

감사의 글

References

키워드

Wave overtopping Artificial neural network Typhoon Prediction model