摘要
介绍了一种新的神经网络模型——小波神经网络，利用它并适当选取网络结构和小波基，实现了对化学物质红外光谱的压缩表征和分类，取得了令人满意的效果，说明小波神经网络在光谱处理方面有着光明的应用前景和优越性。
A new model of neural network wavelet neural network is introduced. The chemical substance infrared spectral compression representation and classification are realized with adaptive network structure and daughter wavelet, and satisfied results are gained.It is demonstrated that the wavelet network possesses bright application prospects and advantages in spectral processing.
出处
《数据采集与处理》
EI
CSCD
1998年第4期393-396,共4页
Journal of Data Acquisition and Processing
基金
国家自然科学基金
关键词
红外光谱学
数据压缩
分类
小波神经网络
infrared spectroscopy
data compression
classification
wavelet neural network
