摘要
综述了QSRR中的多元线性回归(Multple Linear Regresion,MLR)、偏最小二乘回归(Partial Least Squares Regression,PLSR)、人工神经网络(Artificial Neural Networks,ANN)三种常用建模方法、分子描述符的选取的要点及原则及相关模型的建立和评价等方法在食品分析中的应用现状,并对QSRR在该领域的研究方向和发展前景进行了展望,以期为今后更深层次的研究作综合性的参考。
The application status of QSRR and relative main elements correlation with QSRR application in the food analysis were reviewed in the paper, the following main elements were involved, including 3 kinds of common modeling method such as multple linear regression（ MLR）, partial least squares regression（ PLSR）, artificial neural networks（ANN）, points and principles about molecular descriptors selection and methods of correlation model establishment and evaluation.In addition,the development prospect and research direction of QSRR in the fields were also discussed with a view to provide the all-round references to subsequent deep study.
出处
《食品工业科技》
CAS
CSCD
北大核心
2013年第17期365-368,共4页
Science and Technology of Food Industry
