인공지능망을 이용한 폭풍에 의한 해안침식 분석

Title
인공지능망을 이용한 폭풍에 의한 해안침식 분석
Alternative Title
ANALYSIS OF BEACH EROSION BY STORM USING ARTIFICIAL NEURAL NETWORK
Author(s)
박영현; 이진학
KIOST Author(s)
Yi, Jin Hak(이진학)
Publication Year
2013-09-24
Abstract
Beach erosion by storm condition is so severe and it causes major unbalance on sand budget along the coastline. Beach erosion including overwash is complicated and difficult to analyze. The beach erosion of overwash using the artificial neural network is compared with the empirical equation developed by robust regression and experiment data in this study. Error-back propagation method is used for training artificial neural networks. The eroded volume of sand is well estimated by the artificial neural network without understanding mechanism of beach process. The study focused on onshore and offshore sediment transport by overwash on storm wave condition.ral network is compared with the empirical equation developed by robust regression and experiment data in this study. Error-back propagation method is used for training artificial neural networks. The eroded volume of sand is well estimated by the artificial neural network without understanding mechanism of beach process. The study focused on onshore and offshore sediment transport by overwash on storm wave condition.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/26773
Bibliographic Citation
7th International Conference on Asian and Pacific Coasts, APAC 2013, pp.75 - 78, 2013
Publisher
Asain and Pacific Coast 2013
Type
Conference
Language
English
Publisher
Asain and Pacific Coast 2013
Related Researcher
Research Interests

Ocean Energy-Tidal Current Energy Converter System,Infrastructure Management-Structural Health Monitoring,Offshore Wind,해양에너지-조류발전시스템,시설물 유지관리-구조건전성 평가,해상풍력

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