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离散小波变换—支持向量回归方法及其在谷物分析中的应用 被引量:5

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摘要 先用离散小波变换(DWT)对近红外光谱数据(NIR)压缩去噪及扣除光谱背景,再用支持向量回归(SVR)算法建立近红外光谱校正模型,建立了离散小波变换—支持向量回归(DWT-SVR)测定谷物样品中油类、蛋白质和淀粉的新方法。与偏最小二乘法(PLS)相比较,本研究所建模型具有更好的预测准确度。
出处 《河南农业科学》 CSCD 北大核心 2006年第8期40-42,共3页 Journal of Henan Agricultural Sciences
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