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Mathematical Problems in Engineering
Volume 2016, Article ID 9618706, 8 pages
Research Article

Prediction Research of Red Tide Based on Improved FCM

1The Key Laboratory of Intelligent Manufacturing and Robotics, School of Mechatronic Engineering and Automation, Shanghai University, Mailbox 232, No. 149 Yanchang Road, Shanghai 200072, China
2Department of Mechanical Engineering, College of Engineering, University of Michigan, Ann Arbor, MI 48105, USA

Received 21 September 2015; Revised 15 December 2015; Accepted 17 December 2015

Academic Editor: Daniela Boso

Copyright © 2016 Xiaomei Hu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Mengjiao Qin, Zhihang Li, and Zhenhong Du, “Red tide time series forecasting by combining ARIMA and deep belief network,” Knowledge-Based Systems, vol. 125, pp. 39–52, 2017. View at Publisher · View at Google Scholar
  • Jiansheng Huang, Hao Liu, and Kedong Yin, “Effects of meteorological factors on the temporal distribution of red tides in Tolo Harbour, Hong Kong,” Marine Pollution Bulletin, vol. 126, pp. 419–427, 2018. View at Publisher · View at Google Scholar