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基于粒子群优化算法的高斯混合模型和高斯混合回归用于橄榄油品质分析 被引量:2

An Improved GMM and GMR Based on Particle Swarm Optimization with an Application in Extra Virgin Olive Oil Analysis
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摘要 随着橄榄油掺假现象日趋严重,寻找一种简单有效的鉴伪分析方法至关重要.采用基于粒子群优化的高斯混合模型和高斯混合回归结合傅里叶变换红外光谱对橄榄油掺假样品进行定性和定量分析,取得了较好的分析结果. In recent years,olive oil adulteration phenomenon has become increasingly serious. Looking for a simple and effective detection method is very important. In this paper,an improved Gaussian mixture model and Gaussian mixture regression based on particle swarm combined with FT- IR spectrum was used to classify and quantify the adulteration in olive oil and has obtained a good analysis result.
出处 《平顶山学院学报》 2015年第5期57-60,共4页 Journal of Pingdingshan University
基金 国家自然科学基金(21575131)
关键词 高斯混合模型 粒子群优化 橄榄油 傅里叶变换红外光谱 Gaussian mixture model particle swarm optimization olive oil FT-IR spectrum
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参考文献11

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