| 基于自适应模糊系统的船舶碰撞危险评判 |
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| 引用本文： | 朱晓琳,许汉珍.基于自适应模糊系统的船舶碰撞危险评判[J].中国航海,2000(2):50-55. |
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| 作者姓名： | 朱晓琳 许汉珍 |
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| 作者单位： | 华中理工大学,武汉,430074 |
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| 基金项目： | 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(96J012) |
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| 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。
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| 关 键 词： | 船舶碰撞 碰撞危险 模糊系统 专家系统 |
| 文章编号： | 1000-4653(2000)02-0050-06 |
| 修稿时间： | 2000年6月5日 |
Risk Assessment of Ship Collision Based on Adaptive Fuzzy System |
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| ZHU Xiao-lin,XU Han-zhen.Risk Assessment of Ship Collision Based on Adaptive Fuzzy System[J].Navigation of China,2000(2):50-55. |
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| Authors: | ZHU Xiao-lin XU Han-zhen |
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| Abstract: | 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. |
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| Keywords: | Ship Collision Risk of Collision Fuzzy System Expert System |
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