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船舶避碰的自适应模糊专家系统研究
引用本文:朱晓琳,许汉珍.船舶避碰的自适应模糊专家系统研究[J].华中科技大学学报(自然科学版),2001,29(8):71-73.
作者姓名:朱晓琳  许汉珍
作者单位:华中科技大学交通科学与工程学院
基金项目:湖北省自然科学基金资助项目 (96J0 12 )
摘    要:采用自适应模糊系统和神经网络方法,研究了基于模糊联想规则的避碰操纵知识表示,知识获取和自适应学习;建立了基于二值输入输出模糊联想系统的并行模糊推理机制,由此而建立的船舶避碰撞模糊专家系统具有自适应学习能力,能实现实时避碰导航。

关 键 词:船舶  避碰  神经网络  自适应模糊专家系统  避碰策略  自适应学习  并行模糊推理机制
文章编号:1000-8616(2001)08-0071-03
修稿时间:2001年4月6日

Adaptive Fuzzy Expert System for Collision Avoidance of Ships
Zhu Xiaolin Xu Hanzhen Doctoral Candidate, College of Traffic Sci. & Eng.,HUST,Wuhan ,China..Adaptive Fuzzy Expert System for Collision Avoidance of Ships[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2001,29(8):71-73.
Authors:Zhu Xiaolin Xu Hanzhen Doctoral Candidate  College of Traffic Sci & Eng  HUST  Wuhan  China
Institution:Zhu Xiaolin Xu Hanzhen Doctoral Candidate, College of Traffic Sci. & Eng.,HUST,Wuhan 430074,China.
Abstract:Based on the adaptive fuzzy system and neural networks, encounter manoeuvre knowledge representation, acquirement and adaptive learning in fuzzy associative memory (FAM) rules are studied. A binary input output FAM system is built as an inference engine with parallel fuzzy inference. In this way, the fuzzy expert system for collision avoidance of ships is with the facilities of adaptive learning and is able to carry out collision avoidance navigation in a real time circumstance.
Keywords:ship  collision avoidance  fuzzy system  neural network  expert system
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