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一种基于模糊竞争网络的主动声纳目标分类器
引用本文:章新华,林良骥,刘慷,王骥程. 一种基于模糊竞争网络的主动声纳目标分类器[J]. 火力与指挥控制, 1995, 0(4)
作者姓名:章新华  林良骥  刘慷  王骥程
作者单位:浙江大学,大连测控技术研究所,大连舰艇学校
摘    要:提出了一种基于模糊竞争网络的主动声纳目标分类器。该分类器结构简单,学习速度快,仅用少量样本进行训练便可获得良好的推广性能.便于实时学习和应用。通过对模式属于各类别的隶属度的分析,可以知道判决的可靠性,具有较好的应用价值。

关 键 词:声纳;模式识别;神经网络;模糊竞争学习;目标分类

An Active sonar Targets Classifier Based on Fuzzy Competitive Learning Networks
ZHang XinHua. An Active sonar Targets Classifier Based on Fuzzy Competitive Learning Networks[J]. Fire Control & Command Control, 1995, 0(4)
Authors:ZHang XinHua
Abstract:An active sonar targets classifier based on fuzzy competitive learningnetworks is proposed in this paper.The classir1er has simple structure,fast learningspeed and good generalization performance when it is trained by only a little samples.Recognition confidence can be 0ained by analyzin9 membership that pattern belongs toclasses.It is convenient to learn new patterns from real situation adaptively by this ap-proach. So it has good pratical value.
Keywords:Sonar Pattern recognition   Neural networks   Fuzzy competitiveLearning   Targ et Classification
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