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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 24th International Ocean and Polar Engineering Conference, ISOPE Busan
PublisherInternational Society of Offshore and Polar Engineers
Pages1013-1016
Number of pages4
ISBN (Print)9781880653913
Publication statusPublished - 2014 Jan 1
Event24th International Ocean and Polar Engineering Conference, ISOPE 2014 Busan - Busan, Korea, Republic of
Duration: 2014 Jun 152014 Jun 20

Publication series

NameProceedings of the International Offshore and Polar Engineering Conference
ISSN (Print)1098-6189
ISSN (Electronic)1555-1792

Other

Other24th International Ocean and Polar Engineering Conference, ISOPE 2014 Busan
CountryKorea, Republic of
CityBusan
Period14-06-1514-06-20

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Ocean Engineering
  • Mechanical Engineering

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  • Cite this

    Lee, T. L., Huang, C. J., Tsai, C. P., Wen, C. C., & Lin, H. M. (2014). Artificial neural network apply to predict the sea-level change by using satellite data. In Proceedings of the 24th International Ocean and Polar Engineering Conference, ISOPE Busan (pp. 1013-1016). (Proceedings of the International Offshore and Polar Engineering Conference). International Society of Offshore and Polar Engineers.