基于自适应模糊系统的船舶碰撞危险评判  

Risk Assessment of Ship Collision Based on Adaptive Fuzzy System

作　　者：朱晓琳[1] 许汉珍[1] 

机构地区：[1]华中理工大学,武汉430074

出　　处：《中国航海》2000年第2期50-55,共6页Navigation of China

基　　金：国防科工委国防科技预研项目! (7B.6.1 .8.3 );湖北省自然科学基金项目! (96J0 1 2 )

摘　　要：本文应用模糊系统方法建立船舶碰撞危险的专家评判系统。该系统用数值化的模糊联想记忆 (FAM)规则表示专家的领域知识并进行模糊推理 ,同时采用神经网络的微分竞争学习算法 (DCL)实现规则的自适应生成。该系统能模仿人类专家迅速作出危险评判 ,并具有学习、更新和完善的能力。A risk assessment system of ship collision is established by use of a method of adaptive fuzzy system. Numerical fuzzy associative memory (FAM) rules are applied to the expression of human expert knowledge and fuzzy inference. A differential competitive learning approach in the neural network is adopted to adaptively generate FAM rules and learn new knowledge. The system not only makes an assessment immediately as human experts do, but also has the capacity of learning and refreshing.

关 键 词：船舶碰撞 碰撞危险 模糊系统 专家系统 

分 类 号：U675.96[交通运输工程—船舶及航道工程]