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基于BP算法的小波神经网络的研究
Study on wavelet neural network based on back propagation algorithm
【摘要】 BP算法是一种传统且常用的算法,而小波分析是近二十年来发展起来的一种信号处理和分析方法,适合信号的时频局部特性研究,二者的结合将改善神经网络存在的缺陷。因此,文中在研究BP算法的基础上,详细推导了小波神经网络算法,为小波神经网络的广泛应用奠定基础。
【Abstract】 BP algorithm is a traditional and frequently-used algorithm,and the wavelet analysis is a signal processing and analyzing method which is developing from twenty years ago,it is fit to study time-frequency local characteristic of signal,the two combining improves the drawbacks of neural network.So,in this paper,during studying on BP algorithm,the wavelet neural network algorithm has been deduced in detail.It is laying the foundation for abroad applying of wavelet neural network.
【关键词】 小波分析;
BP算法;
神经网络;
时频分析;
【Key words】 wavelet analysis; BP algorithm; neural network; time-frequency analysis;
【Key words】 wavelet analysis; BP algorithm; neural network; time-frequency analysis;
- 【文献出处】 信息技术 ,Information Technology , 编辑部邮箱 ,2012年11期
- 【分类号】TP183
- 【被引频次】2
- 【下载频次】92