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Modeling of the phase equilibria of aqueous two-phase systems using three-dimensional neural network
作者:Lv, Hui-Chao; Tian, Da Yong
Korean Journal of Chemical Engineering
卷: 34   期: 1   页: 170-178  
DOI: 10.1007/s11814-016-0245-9  
出版年: 2017
摘要
A three-dimensional neural network model has been designed for representing the phase equilibrium data related to aqueous two-phase systems. The polyvinyl pyrrolidone/phosphate/water system was selected as the model system to demonstrate the point of interest. The collected experimental data were categorized into two subsets, training and validation sets, not only to find the suitable network configuration but also to prevent the overfitting problem.Meanwhile, the weight comparison method was proposed to optimize the three-dimensional neural net. The results of accuracy comparison indicate that it outperforms the two-dimensional neural network on some details and can further enhance the calculation accuracy of the phase equilibrium data for these investigated aqueous two-phase systems.The development of the neural network in the three-dimensional space should be a research project of concern.
关键词
作者关键词: Three-dimensional Neural Network; Weight Comparison Method; Aqueous Two-Phase System; Phase Equilibria
出版商
The Korean Institute of Chemical Engineers
类别 / 分类
研究方向: Engineering (由 Thomson Reuters 提供)
KCI-KJD 分类: Chemical Engineering
文献信息
文献类型: research-article
语种: English
入藏号: KJD:ART002179308
ISSN: 0256-1115
期刊信息
Impact Factor (影响因子): Journal Citation Reports®，