A combined thermography - Neural network for the prediction of eroded caves behind seawall

T. L. Lee, H. M. Lin, H. H. Chen, R. Y. Yang

研究成果: Conference contribution

摘要

In this paper, the depth forecasting of eroded caves behind seawall model is proposed by using the back-propagation neural network combined the thermography analysis. The measured data of the depth of eroded caves behind seawall from the model experiments of sandbox and Cingcao seawall in Taiwan had been used to test the performance of the present model. From the results, it was found that the artificial neural network can efficiently forecast the depth of eroded caves behind a seawall using the four input factors, including the site temperature, humidity, thermograph area, and temperature difference

原文English
主出版物標題The Proceedings of the 19th (2009) International OFFSHORE AND POLAR ENGINEERING CONFERENCE
頁面1299-1304
頁數6
出版狀態Published - 2009 12月 1
事件19th (2009) International OFFSHORE AND POLAR ENGINEERING CONFERENCE - Osaka, Japan
持續時間: 2009 6月 212009 6月 26

Other

Other19th (2009) International OFFSHORE AND POLAR ENGINEERING CONFERENCE
國家/地區Japan
城市Osaka
期間09-06-2109-06-26

All Science Journal Classification (ASJC) codes

  • 能源工程與電力技術
  • 海洋工程
  • 機械工業

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