| 改进的模糊C均值算法用于掺杂橄榄油的分类和半定量研究 |
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| 作者单位： | ;1.厦门市产品质量监督检验院;2.郑州大学化学与分子工程学院 |
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| 摘 要： | 针对橄榄油的掺杂检测问题,提出了基于粒子群优化算法的模糊C均值分类算法,可以同时进行分类和半定量分析,并建立了新的目标函数评价算法.结果表明改进的模糊C均值算法简单、快速、有效.
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| 关 键 词： | 模糊C均值 粒子群优化算法 橄榄油 |
Classification and Semi-Quantitation of Olive Oil Adulteration by Adaptive Fuzzy C Means |
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| Affiliation: | ,Xiamen Products Quality Supervision & Inspection Institute,School of Chemistry and Molecular Engineering,Zhengzhou University |
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| Abstract: | Determination of the authenticity of extra virgin olive oils has become more and more important in recent years. In this paper,the adaptive fuzzy C means optimized by particle swarm optimization algorithm( AFCMPSO) is proposed to obtain classification and semi-quantitative information of olive oils. To semi-quantify the adulteration in olive oil,a new objective function is proposed for AFCMPSO. The results show that this chemometric method can classify and semi-quantify the adulterated oil simultaneously and is a stable and reliable method for identifying olive oils. |
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| Keywords: | fuzzy C means particle swarm optimization olive oil |
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