An Application of Stepwise Regression Analysis to the Intelligent Sensory Evaluation of the Cigarette

摘要：

This paper makes use of stepwise regression analysis to analyze the main chemistry composition of the cigarette tobacco leaves and the sensory quality. Eliminate the physical and chemic index which contributed little to the sensory index gradually. Finally get a “optimal regression equation which is representative strongly. It can truly reflect the linear relation between several physical and chemic index and sensory index. Compared with the predicted value and the measured value of the sensory index, the result expresses that method works effectively.

关键词： Related relation Stepwise regression Sensory Evaluation Cigarette

作者: Hua Lin Xiangqian Ding

作者单位: College of Information Science and Engineering, Ocean University of China, Shandong Qingdao, China

会议类型: 国际会议

会议名称: The Second International Symposium on Intelligence Computation and Applications(ISICA 2007)(第二届智能计算及其应用国际会议)

会议地点: 武汉

会议语种:英文

在线出版日期: 2007-09-21（万方平台首次上网日期，不代表论文的发表时间）