Study on Near-Infrared Spectroscopy Signal Pre-processing and Model Building
文献类型: 外文期刊
第一作者: Zhang Xiaochao
作者: Zhang Xiaochao;Zhang Yinqiao;Wang Hui
作者机构:
关键词: near-infrared Spectroscopy;Support Vector Machines;grain;quality analyses;wavelet analysis
期刊名称:INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER CONTROL : ICACC 2009 - PROCEEDINGS
ISSN:
年卷期: 2009 年
页码:
收录情况: SCI
摘要: The technology of Near-infrared Spectroscopy analysis plays a very important role in quality detection of farm produce. This thesis analyzed grainy wheat quality with 900nm-1700nm wave raster near-infrared spectroscopy analysis system, filtered signal with wavelet packet analyses system, disposed signal with second order differential equipment, built and contrasted models of Partial Least Square (PLS) and Support Vector Machines (SVM). The results showed that the Near-infrared Spectroscopy analysis system can suit farm produce quality analysis well.
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