Multiple linear regression and artificial neural network retention prediction models for ginsenosides on a polyamine-bonded stationary phase in hydrophilic interaction chromatography

标题
Multiple linear regression and artificial neural network retention prediction models for ginsenosides on a polyamine-bonded stationary phase in hydrophilic interaction chromatography
作者
关键词
-
出版物
JOURNAL OF SEPARATION SCIENCE
Volume 31, Issue 9, Pages 1550-1563
出版商
Wiley
发表日期
2008-04-25
DOI
10.1002/jssc.200800077

向作者/读者发起求助以获取更多资源

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started