船舶障碍避让系统中模糊神经网络多步预测模型设计

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英文篇名：Design of fuzzy neural network multi-step prediction model for ship obstacle avoidance system 作者：蒋美云 英文作者：JIANG Mei-yun;Nanjing Institute of Industry Technology; 关键词：神经网络 ; 障碍避让 ; 预测模型 ; 模糊算法 英文关键词：neural network;;obstacle avoidance;;prediction model;;fuzzy algorithm 中文刊名：JCKX 英文刊名：Ship Science and Technology 机构：南京工业职业技术学院; 出版日期：2019-04-23 出版单位：舰船科学技术 年：2019 期：v.41 基金：江苏智能传感器网络工程技术研究开发中心开放基金资助项目(YK15-04-02) 语种：中文; 页：JCKX201908061 页数：3 CN：08 ISSN：11-1885/U 分类号：182-184

摘要

水路运输自古以来就是一种非常重要的商品流通途径,对促进经济发展和贸易往来有重要的意义,特别是近年来,经济全球化的趋势不断加强,远洋海上运输成为世界范围内商品贸易的主要途径。在船舶的正常航行过程中,障碍避让是非常重要的性能,是保障船舶安全航行的重要条件。由于船舶在航线航行时,受到许多未知环境的干扰条件因素影响,比如其他船舶、暗礁等,因此,研究船舶的避障技术有重要意义。本文充分利用神经网络算法和模糊算法,对船舶的障碍避让系统进行开发,设计了基于模糊神经网络的船舶障碍避让预测模型。
        Waterway transportation has been a very important commodity circulation way since ancient times. It is of great significance to promote economic development and trade. Especially in recent years, the trend of economic globalization has been strengthened, and ocean-going maritime transportation has become the main way of commodity trade in the world. Obstacle avoidance is a very important performance in the normal navigation of ships, and it is an important condition to ensure the safe navigation of ships. Because ships are affected by many unknown environmental factors, such as other ships, reefs and so on, it is of great significance to study the obstacle avoidance technology of ships. In this paper, the obstacle avoidance system of ships is developed by making full use of the neural network algorithm and the fuzzy algorithm,and the prediction model of obstacle avoidance of ships based on the fuzzy neural network is designed.

引文

[1]王天禹.健全我国内河干、支流交汇水域船舶航行会让避碰法律制度研究[J].交通科技, 2001(4):52–54.
    [2]陈中元.电子海图在综合船桥系统避碰技术的应用研究[J].舰船科学技术, 2016(24):121–123.
    [3]徐光华.避让规则与船舶安全航行——对长江江苏段多起船舶碰撞事故的分析[J].广州航海高等专科学校学报, 2009,17(1):6–9.
    [4]程细得,刘祖源.内河船舶避碰决策智能优化研究[J].船海工程, 2006, 35(3):6–9.
    [5]马忠欣.对《1972年国际海上辟碰规则》在船舶与潜艇避碰问题适用性方面的探讨[J].天津航海, 1995(4):10–13.