Prediction of phase equilibrium properties for complicated macromolecular systems by HGALM neural networks

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	Prediction of phase equilibrium properties for complicated macromolecular systems by HGALM neural networks
	He, XZ ; Zhang, XP ; Zhang, SJ ; Liu, JD ; Li, CS
刊名	FLUID PHASE EQUILIBRIA
	2005-11-25
卷号	238 期号:1 页码:52-57
关键词	feed forward neural networks genetic algorithm polymer system protein system
ISSN号	0378-3812
其他题名	Fluid Phase Equilib.
中文摘要	Traditional error back propagation is a widely used training algorithm for feed forward neural networks (FFNNs). However, it generally encounters two problems of slow learning rate and relative low accuracy. In this work, a hybrid genetic algorithm combined with modified Levenberg-Marquardt algorithm (HGALM) was proposed for training FFNNs to improve the accuracy and decrease the time depletion comparing to the traditional EBP algorithm. The FFNNs based on HGALM were used to predict the binodal curve of water-DMAc-PSf system and protein solubility in lysozyme-NaCl-H2O system. The results would be used for guiding experimental researches in preparation of asymmetry polymer membrane and optimization of protein crystal process. (c) 2005 Elsevier B.V. All rights reserved.
英文摘要	Traditional error back propagation is a widely used training algorithm for feed forward neural networks (FFNNs). However, it generally encounters two problems of slow learning rate and relative low accuracy. In this work, a hybrid genetic algorithm combined with modified Levenberg-Marquardt algorithm (HGALM) was proposed for training FFNNs to improve the accuracy and decrease the time depletion comparing to the traditional EBP algorithm. The FFNNs based on HGALM were used to predict the binodal curve of water-DMAc-PSf system and protein solubility in lysozyme-NaCl-H2O system. The results would be used for guiding experimental researches in preparation of asymmetry polymer membrane and optimization of protein crystal process. (c) 2005 Elsevier B.V. All rights reserved.
WOS标题词	Science & Technology ; Physical Sciences ; Technology
类目[WOS]	Thermodynamics ; Chemistry, Physical ; Engineering, Chemical
研究领域[WOS]	Thermodynamics ; Chemistry ; Engineering
关键词[WOS]	EGG-WHITE LYSOZYME ; GENETIC ALGORITHM ; BACK PROPAGATION ; SOLUBILITY ; OPTIMIZATION ; SPEED ; RATES
收录类别	SCI
原文出处	://WOS:000233374800009
语种	英语
WOS记录号	WOS:000233374800009
公开日期	2013-10-25
内容类型	期刊论文
版本	出版稿
源URL	[http://ir.ipe.ac.cn/handle/122111/4228]
专题	过程工程研究所_研究所（批量导入）
作者单位	1.Chinese Acad Sci, Inst Proc Engn, Beijing 100080, Peoples R China 2.Zhengzhou Univ, Sch Chem Engn, Zhengzhou 450002, Peoples R China
推荐引用方式 GB/T 7714	He, XZ,Zhang, XP,Zhang, SJ,et al. Prediction of phase equilibrium properties for complicated macromolecular systems by HGALM neural networks[J]. FLUID PHASE EQUILIBRIA,2005,238(1):52-57.
APA	He, XZ,Zhang, XP,Zhang, SJ,Liu, JD,&Li, CS.(2005).Prediction of phase equilibrium properties for complicated macromolecular systems by HGALM neural networks.FLUID PHASE EQUILIBRIA,238(1),52-57.
MLA	He, XZ,et al."Prediction of phase equilibrium properties for complicated macromolecular systems by HGALM neural networks".FLUID PHASE EQUILIBRIA 238.1(2005):52-57.