Artificial neural network apply to predict the sea-level change by using satellite data

T. L. Lee, C. J. Huang, C. P. Tsai, C. C. Wen, H. M. Lin

研究成果: Conference contribution

摘要

The problem of climate change has become a hot issue around the world, and many countries are raise concern about this critical change. This paper is aim to develop the neural network to evaluate the long term sea-level data and estimate the possible sea level in 2030 based on the five satellite data observed stations at Taiwan. The results indicate that the neural network can be efficiently forecasted sea level change. The average rate of sea level rising around Taiwan in 2030 is 1.8 to 7.4 cm.

原文English
主出版物標題Proceedings of the 24th International Ocean and Polar Engineering Conference, ISOPE Busan
發行者International Society of Offshore and Polar Engineers
頁面1013-1016
頁數4
ISBN(列印)9781880653913
出版狀態Published - 2014 一月 1
事件24th International Ocean and Polar Engineering Conference, ISOPE 2014 Busan - Busan, Korea, Republic of
持續時間: 2014 六月 152014 六月 20

出版系列

名字Proceedings of the International Offshore and Polar Engineering Conference
ISSN(列印)1098-6189
ISSN(電子)1555-1792

Other

Other24th International Ocean and Polar Engineering Conference, ISOPE 2014 Busan
國家/地區Korea, Republic of
城市Busan
期間14-06-1514-06-20

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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