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船舶拟人智能避碰决策理论的集成机器学习策略
引用本文:李丽娜,王俊玲,陈国权. 船舶拟人智能避碰决策理论的集成机器学习策略[J]. 信息与控制, 2011, 40(3). DOI: 10.3724/SP.J.1219.2011.00359
作者姓名:李丽娜  王俊玲  陈国权
作者单位:1. 集美大学,福建厦门,361021
2. 集美大学,福建厦门361021;大连海事大学,辽宁大连116026
摘    要:简述了研究船舶拟人智能避碰决策(PIDVCA)的意义、目标及其实现方法,提出了基于机器学习构建动态避碰知识库的关键技术及PIDVCA理论的机器学习机制,并结合避碰仿真实例,着重讨论了PIDVCA理论的集成机器学习策略以及获取动态避碰知识的机理.

关 键 词:PIDVCA  集成机器学习策略  动态避碰知识库

Integrated Machine Learning Strategy of PIDVCA Theory
LI Lina,WANG Junling,CHEN Guoquan. Integrated Machine Learning Strategy of PIDVCA Theory[J]. Information and Control, 2011, 40(3). DOI: 10.3724/SP.J.1219.2011.00359
Authors:LI Lina  WANG Junling  CHEN Guoquan
Affiliation:LI Lina~1,WANG Junling~1,CHEN Guoquan~(1,2) (1.Jimei University,Xiamen 361021,China,2.Dalian Maritime University,Dalian 116026,China)
Abstract:The paper summarizes the significance and aim of studying PIDCVA(personifying intelligent decision-making for vessel collision avoidance),and the way of its realization.As the machine learning is the key technology to construct the dynamic anti-collision knowledge library,the mechanism of machine learning of PIDVCA theory is put forward.The integrated machine learning strategy of the PIDVCA theory and mechanism of acquiring dynamic collision avoidance knowledge are discussed by combination of collision avoi...
Keywords:PIDVCA(personifying intelligent decision-making for vessel collision avoidance)  integrated machine learning strategy  dynamic collision avoidance knowledge library  
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