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基于神经网络的船舶间碰撞态势模糊分类方法
引用本文:刘宇宏,王辉,孙枫. 基于神经网络的船舶间碰撞态势模糊分类方法[J]. 中国造船, 1999, 0(3)
作者姓名:刘宇宏  王辉  孙枫
作者单位:哈尔滨工程大学
摘    要:本文提出一种采用神经网络技术实现船舶间碰撞态势模糊分类的方法。通过对复杂问题的分解,建立了一个由三个子网构成的多级网络模型。每个子网实现一部分分类功能。仿真结果表明:该网络模型具有模糊分类功能,同时,对不正确的输入具有容错性。

关 键 词:神经网络  模糊决策  碰撞

FUZZY CLASSIFYING OF COLLISION STATES BETWEEN SHIPS BASED ON NEURAL NETWORK
LIU Yuhong, WANG Hui, SUN Feng. FUZZY CLASSIFYING OF COLLISION STATES BETWEEN SHIPS BASED ON NEURAL NETWORK[J]. Shipbuilding of China, 1999, 0(3)
Authors:LIU Yuhong   WANG Hui   SUN Feng
Affiliation:Harbin Engineering University
Abstract:The method of fuzzy classifying of collision states between ships based on neural network is proposed in this paper. A multistage network is built which consists of three subnetworks. Each sub-network takes on a part of classification function. The simulation results demonstrate that the multistage network model presented here can compliment fuzzy classification, and at the same time, it also has a fault-tolerance property for incorrect input data.
Keywords:Neural network    Fuzzy decision   Collision   Collision avoidance
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