文献类型：期刊文献

英文题名：Parallel model of independent component analysis constrained by reference curves for HPLC-DAD and its solution by multi-areas genetic algorithm

作者：Cui, Lizhi[1]; Poon, Josiah[1]; Poon, Simon K.[1]; Fan, Kei[1]; Chen, Hao[1]; Gao, Junbin[2]; Kwan, Paul[3]; Ling, Zhihao[4]

机构：[1] School of information technologies, University of Sydney, Sydney, NSW, Australia; [2] School of Computing and Mathematics, Charles Sturt University, Bathurst, NSW, Australia; [3] School of Science and Technology, University of New England, Armidale, NSW, Australia; [4] School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China

年份：2013

起止页码：27

外文期刊名：Proceedings - 2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013

收录：EI(收录号：20141017414389)

语种：英文

外文关键词：Curve fitting - High performance liquid chromatography - Independent component analysis - Separation - Constrained optimization - Chromatographic analysis - Three dimensional computer graphics

摘要：In order to separate a 3D chromatography, which is generated from High Performance Liquid Chromatography-Diode Array Detector (HPLC-DAD), into chromatograms and spectra, we proposed a model called parallel Independent Component Analysis constrained by Reference Curve (pICARC), which transforms the separation problem to a multi-parameter optimization issue. Then, A new algorithm named multi-areas Genetic Algorithm (mGA) is developed to search multiple solutions in parallel. It was demonstrated that our approach could successfully separate a given HPLC-DAD dataset into chromatograms and spectra with little errors and in short computational time. ? 2013 IEEE.