Innovation and Transformation of Grain Science and Technology of Hubei Province [20165104]; Key Science and Technology Project of Wuhan City [2013010501010147]
机构署名：
本校为第一且通讯机构
院系归属：
机械工程学院
摘要：
To identify the type of edible oil, we proposed a near-infrared (NIR) spectral analysis method based on the contents of four characteristic components: iodine value, palmitic acid, oleic acid, and linoleic acid. Built support vector machine qualitative models that can identify eight kinds of oil. The four characteristic component values of 129 oil samples from 8 kinds of oil were collected and detected. Established three SVC identification models by using three parameter optimization methods including genetic algorithm, grid search and particle swarm optimization. The results showed that the p...
