An evaluation of classification techniques applied to the field of NIR/IR spectroscopy

机译：应用于NIR / IR光谱法的分类技术的评估

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摘要

This paper compares various classification techniques applied to data from the field of NIR spectroscopy. It is shown that techniques like MARS and SVM perform better than SIMCA (currently the most popular technique) on 2 sets of simulated data and one set of real data from the wine industry.

机译：本文比较了来自NIR光谱法应用于数据的各种分类技术。结果表明，MARS和SVM等技术比SIMCA（目前最流行的技术）更好地执行2套模拟数据和来自葡萄酒行业的一组真实数据。

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《International Workshop on Statistical Modelling》|2004年||共5页
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作者
Martin Kidd;
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正文语种
中图分类统计学;
关键词
NIR spectroscopy; CART; MARS; MART; SVM; SIMCA; neural networks; boosting;

机译：NIR光谱;购物车;MARS;MART;SVM;SIMCA;神经网络;提升;

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An evaluation of classification techniques applied to the field of NIR/IR spectroscopy

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