文章摘要
方世良,陆佶人.复合基神经网络在水声目标分类识别中的应用[J].声学技术,1998,(2):54~56,62
复合基神经网络在水声目标分类识别中的应用
The application of a combined basis neural network in the underwater acoustic target classification and recognition
投稿时间:1997-04-03  修订日期:1997-10-16
DOI:
中文关键词: 目标分类  水声  神经网络  基函数
英文关键词: target classification  underwater acoustic  neural network  basis function
基金项目:
作者单位
方世良 东南大学无线电工程系, 南京 210018 
陆佶人 东南大学无线电工程系, 南京 210018 
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中文摘要:
      本文根据不同神经网络的分类特点,提出将径向基函数网络和多层感知器网络复合构成复合基网络,用于水声信号的分类识别。试验表明,该网络的分类能力及对未训练目标的适应性优于BP网和RBF网。
英文摘要:
      In this paper, a combined basis neural network is proposed for underwater acoustic target classification. It is composed of radial basis functions and multi-layer perceptrons whose characteristics on the classification are different. It has been demonstrated by the recognition experiment that the network has higher correct recognition rate and better adaptability to untrained targets than BP or RBF network.
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