Inland Waterway 'Black Spot' Identification Model Based on MEA-BP Neural Network Algorithm

被引：0
|
作者：
Dong Shi-yu [1 ,2 ]
Liu Qing [1 ,2 ]
Wang Lei [1 ,2 ]
Wang Haiyan [1 ,2 ]
机构：
[1] Wuhan Univ Technol, Sch Transportat, Wuhan 430063, Hubei, Peoples R China
[2] Natl Engn Res Ctr Water Transport Safety, Wuhan 430063, Hubei, Peoples R China
来源：
2017 4TH INTERNATIONAL CONFERENCE ON TRANSPORTATION INFORMATION AND SAFETY (ICTIS) | 2017年
基金：
中国国家自然科学基金;
关键词：
inland waterway; black spot; BP neural network algorithm; mind evolutionary algorithm; identification;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Identification of inland waterway 'black spot' is an important means for maritime essential safety management. This paper presents an Identification model of inland waterway 'black spot' based on MEA-BP neural network algorithm. The accident information is obtained and assigned by the MEA-BP neural network algorithm. The uncertainty of navigation condition in inland waterway channel is also considered. Based on analysis of accidents in three gorges reservoir area, it shows that the proposed model can identify the inland waterway 'black spot' effectively. It will be of research significance and practical value to guarantee safety in shipping.
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页码：251 / 256
页数：6
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