Abstract:A new method was proposed to extract relevant information from near-infrared(NIR) spectra for multivariate calibration of water soluble chloride ion in complex plant samples. The method is a combination of discrete wavelet transform (DWT) and least squares support vector regression (LSSVR). After data compression and background removal in NIR spectra by DWT, the LSSVR approach was used to build NIR spectra regression models on the retained wavelet coefficients. Compared with partial least square regression (PLSR) and LSSVR, the proposed method is superior both in calculation speed and prediction accuracy.
Key words:Discrete wavelet transform;Least squares support vector regression;Near-infrared spectra;Water soluble chloride ion
吴荣晖,邵学广*. 近红外光谱用于植物样品中水溶性氯离子含量的测定[J]. 光谱学与光谱分析, 2006, 26(04): 617-619.
WU Rong-hui, SHAO Xue-guang*. Application of Near-Infrared Spectra in the Determination of Water Soluble Chloride Ion in Plant Samples. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2006, 26(04): 617-619.
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