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

Classification and Semi-Quantitation of Olive Oil Adulteration by Adaptive Fuzzy C Means

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.

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.