CORC  > 兰州大学  > 兰州大学  > 化学化工学院  > 期刊论文
Prediction of retention times of peptides in RPLC by using radial basis function neural networks and projection pursuit regression
刊名CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
2008-05-15
卷号92期号:1
关键词peptides reversed-phase liquid chromatography quantitative structure-retention relationship radial basis function neural networks projection pursuit regression
ISSN号0169-7439
通讯作者Hu, ZD (reprint author), Lanzhou Univ, Dept Chem, Lanzhou 730000, Peoples R China.
学科主题Automation & Control Systems ; Chemistry ; Computer Science ; Instruments & Instrumentation ; Mathematics
语种英语
WOS记录号WOS:000256869800010
内容类型期刊论文
源URL[http://202.201.7.4:8080/handle/262010/77558]  
专题化学化工学院_期刊论文
推荐引用方式
GB/T 7714
. Prediction of retention times of peptides in RPLC by using radial basis function neural networks and projection pursuit regression[J]. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS,2008,92(1).
APA (2008).Prediction of retention times of peptides in RPLC by using radial basis function neural networks and projection pursuit regression.CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS,92(1).
MLA "Prediction of retention times of peptides in RPLC by using radial basis function neural networks and projection pursuit regression".CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 92.1(2008).
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace