earticle

논문검색

Short-Term Forecasting for Harbor Waterway Currents Speeds

원문정보

Cheng Gong, Yan Lv, Chunjiang Zhang, Xiyuan Wang, Wei Huangfu, Zhongshan Zhang

보안공학연구지원센터(IJMUE) International Journal of Multimedia and Ubiquitous Engineering Vol.9 No.12 2014.12 pp.367-374
피인용수 : 0건 (자료제공 : 네이버학술정보)

초록

영어

The ocean currents speeds in the harbor waterway are directly related to the ability of the ship to in or out the harbor. Accurately predict the speeds can assist the ship to choose the right time for sailing. To solve this problem, we chose two models of linear and non-linear prediction. We had set sensors in Qinhuangdao for a long time, then using the collected data for training. Our test is using a lot of random data to train and predict with different steps and orders. The results show that both methods can use less original data to train the model, and finally achieve preferably prediction. According to the characteristics of Qinhuangdao harbor, Auto-Regressive (AR) model is more appropriate than Support Vector Regression (SVR) model.

목차

Abstract
 1. Introduction
 2. Related Works
 3. Short-term Forecasting
  3.1. Auto-Regressive
  3.2. Support Vector Regression
 4. Experiments
 5. Conclusion and Outlook
 Acknowledgments
 References

키워드

저자정보

  • Cheng Gong Beijing Engineering and Technology Research Center for Convergence Networks and Ubiquitous Services, University of Science and Technology Beijing (USTB), Beijing 100083, China
  • Yan Lv Beijing Engineering and Technology Research Center for Convergence Networks and Ubiquitous Services, University of Science and Technology Beijing (USTB), Beijing 100083, China
  • Chunjiang Zhang Qinhuangdao Beacons, Tianjin Maritime Safety Administration of the People’s Republic of China
  • Xiyuan Wang Beijing Engineering and Technology Research Center for Convergence Networks and Ubiquitous Services, University of Science and Technology Beijing (USTB), Beijing 100083, China
  • Wei Huangfu Beijing Engineering and Technology Research Center for Convergence Networks and Ubiquitous Services, University of Science and Technology Beijing (USTB), Beijing 100083, China
  • Zhongshan Zhang Beijing Engineering and Technology Research Center for Convergence Networks and Ubiquitous Services, University of Science and Technology Beijing (USTB), Beijing 100083, China

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.