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In relation to this article, we declare that there is no conflict of interest.
Publication history
Received August 3, 2016
Accepted August 29, 2016
articles This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Modeling of the phase equilibria of aqueous two-phase systems using three-dimensional neural network

School of Chemical & Environmental Engineering, Anyang Institute of Technology, China
prolvhuichao@126.com
Korean Journal of Chemical Engineering, January 2017, 34(1), 170-178(9), 10.1007/s11814-016-0245-9
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Abstract

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.

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