混合智能系统在船舶自动避碰决策中的应用  

Application of hybrid intelligent systems in automatic collision avoidance decision-making for ships

作　　者：吕红光[1] 尹勇[1] 尹建川[1] 

机构地区：[1]大连海事大学航海学院,辽宁大连116026

出　　处：《大连海事大学学报》2015年第4期29-36,共8页Journal of Dalian Maritime University

基　　金：国家高技术研究发展计划(863)资助项目(2015AA016404);海洋公益性行业科研专项经费资助项目(201505017-4);辽宁省自然科学基金资助项目(2014025008);辽宁省教育厅科学研究一般项目基金资助项目(L2014214)

摘　　要：为减少或避免由于人为失误导致的船舶碰撞事故,促进船舶航行安全,船舶自动避碰系统的研究正在逐渐深入,其中船舶自动避碰决策算法是关键.综述了模糊神经网络、混合专家系统、软硬计算混合系统、综合性仿人智能系统在该领域的应用,并对相关研究成果进行分类整理、分析不足,指出混合智能应用于船舶自动避碰决策算法中的研究方向.In the interest of preventing maritime accidents attributed to human error and promoting the safety of ship navigation,the studies about automatic collision avoidance system（ ACAS） are explored in depth,and the key point is the decision making algorithm. This paper reviews the process of hybrid intelligent system applied in ACAS decision making for ships,particularly when engaged in fuzzy neural networks,hybrid expert system,hybrid system of hard computing and soft computing,comprehensive human simulated intelligent system,etc. In addition,the recent literature was categorized and their shortcomings are highlighted. Finally,future research directions are pointed out.

关 键 词：混合智能系统 船舶 自动避碰 决策算法 人工智能 软计算 

分 类 号：U675.96[交通运输工程—船舶及航道工程]