Prediction of Ship Traffic Flow Based on BP Neural Network and Markov Model
MATEC Web Conf., 81 (2016) 04007
Published online: 2016-10-25
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
An effective approach for Yangtze river vessel traffic flow forecasting: A case study of Wuhan area
Jie Man, Deshan Chen, Bing Wu, Chengpeng Wan and Xinping YanOcean Engineering 296 116899 (2024)
https://doi.org/10.1016/j.oceaneng.2024.116899
Dynamic Multi-Period Maritime Accident Susceptibility Assessment Based on AIS Data and Random Forest Model
Weihua Zhu, Shoudong Wang, Shengli Liu, Libo Yang, Xinrui Zheng, Bohao Li and Lixiao ZhangJournal of Marine Science and Engineering 11 (10) 1935 (2023)
https://doi.org/10.3390/jmse11101935
An Optimal BP Neural Network Track Prediction Method Based on a GA–ACO Hybrid Algorithm
Yuanzhou Zheng, Xuemeng Lv, Long Qian and Xinyu LiuJournal of Marine Science and Engineering 10 (10) 1399 (2022)
https://doi.org/10.3390/jmse10101399