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。
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.
出处
《机械设计与制造》
北大核心
2006年第6期120-122,共3页
Machinery Design & Manufacture
关键词
人工神经网络
信号识别
LVQ
Artificial neural works
Signal recognizing
LVQ
