Grain scientific and technological transformative projects of Hubei [20165104]; Key Science and Technology Program of Wuhan [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：
Aiming at the adulteration of sesame oil, our research is focused on using near-infrared spectroscopy combined with chemometrics to achieve rapid detection. The near-infrared spectrum of the sample was collected, and the data analysis and modeling were conducted on MATLAB. The raw spectral data was pretreated using multiplicative scatter correction (MSC) and standard normal variate (SNV). Support vector machine (SNM) model was established by using competitive adaptive reweighed sampling (CARS) and combined synergy interval partial least squares (SiPLS) to select characteristic spectral data. T...
