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如题 作者: Lv H C, Tian D Y. 论文相关信息: Modeling of the phase equilibria of aqueous two-phase systems using three-dimensional neural network[J]. Korean Journal of Chemical Engineering, 2017, 34(1): 170-178. 金币奉上，不成敬意！ |
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liouzhan654
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4楼2017-02-15 17:51:38
liouzhan654
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aygxy_lhc: 金币+10, ★★★很有帮助, 谢谢了！ 2017-02-15 17:30:30
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aygxy_lhc: 金币+10, ★★★很有帮助, 谢谢了！ 2017-02-15 17:30:30
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恭喜你，检索情况如下： 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® |
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3楼2017-02-15 17:34:16
