Wine Quality Detection Model Based on Support Vector Machine Algorithm
With the continuous development of our country's economy,wine,as a delightful medium of life,has entered the public dining ta-ble.However,the quality inspection of wine is still mainly based on the tasting of wine tasters,which can no longer meet the needs of the large-scale and intelligent development of the food industry.Therefore,based on the support vector machine algorithm,the physicochemical indicators of wine were modeled,and the Box plot method was implemented using R language to handle outliers.At the same time,the support vector machine parameters of the RBF kernel were optimized,resulting in a wine quality detection model with an accuracy of 96.46%.This pro-vides an effective approach for wine quality control.
support vector machineR languageBox-plot methodwine quality testing
万方数据
维普
