| 学习向量量化(LVQ)网络在周期信号识别方面的扩展应用 |
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| 引用本文： | 李琳,张永祥. 学习向量量化(LVQ)网络在周期信号识别方面的扩展应用[J]. 机械设计与制造, 2006, 0(6): 120-122 |
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| 作者姓名： | 李琳 张永祥 |
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| 作者单位： | 武汉海军工程大学,武汉,430033 |
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| 摘 要： | 学习向量量化网络是一种十分有用的神经网络,它在模式分类方面有广泛应用。但在其它方面应用很少。通过对LVQ网络的一些改进,实现了LVQ对周期信号的识别,并且可以通过调整相似的程度来限制结果,对于低于规定相似程度的输入,网络可以把它作为样本储存下来。
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| 关 键 词： | 人工神经网络 信号识别 |
| 文章编号： | 1001-3997(2006)06-0120-02 |
| 收稿时间： | 2005-08-19 |
| 修稿时间： | 2005-08-19 |
Application of artificial neural networks model of LVQ in periodical signal recognizing |
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| LI Lin,ZHANG Yong-xiang. Application of artificial neural networks model of LVQ in periodical signal recognizing[J]. Machinery Design & Manufacture, 2006, 0(6): 120-122 |
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| Authors: | LI Lin ZHANG Yong-xiang |
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| Affiliation: | Wuhan Naval university of Engineering, whhan 430033, China |
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| Abstract: | Artificial neural networks model of LVQ is a very useful network. It has been widely used for pattern classifying.Artificial neural networks model of LVQ is mended in this article so that it realize the periodical signal recognizing.Furthermore,the degree of similarity can be rectified to confine the result.The input under the limit will be remembered by the net as a standard sample. |
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| Keywords: | LVQ |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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