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aygxy_lhc

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[求助] 请帮忙查一下论文是不是被SCI检索了,谢谢!

如题,论文信息如下:
Lv H, Liu N, Tian D, et al. Circuit-based neural network models for estimating the solubility of diosgenin[J]. Chemical Engineering Communications,
2019: 1-13.

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baiyuefei

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【答案】应助回帖

★ ★ ★ ★ ★ ★ ★ ★ ★ ★
感谢参与,应助指数 +1
aygxy_lhc: 金币+10, ★★★很有帮助, 谢谢了! 2020-06-29 20:29:35
心静_依然: LS-EPI+1, 感谢应助 2020-07-09 08:42:14
Circuit-based neural network models for estimating the solubility of diosgenin
作者:Lv, HC (Lv, Huichao)[ 1 ] ; Liu, NN (Liu, Nana)[ 1 ] ; Tian, DY (Tian, Dayong)[ 1 ] ; Zeng, YW (Zeng, Yuwen)[ 1 ] ; Li, BL (Li, Baoli)[ 1 ]

CHEMICAL ENGINEERING COMMUNICATIONS

DOI: 10.1080/00986445.2019.1663181

Early access icon在线发表日期: SEP 2019
文献类型:Article; Early Access

查看期刊影响力

摘要
Several new circuit-based neural network models were conceived and utilized to estimate the solubility of diosgenin. Six mixed alcohol solvents and a pure solvent (carbon tetrachloride) were selected as the model systems to demonstrate the point of interest. To make full use of the collected solubility data of diosgenin in these solvents, they were categorized into training, testing and validation sets and a 5-fold cross validation was adopted in the buildup of the model. The results of the statistical analysis and the sum of ranking differences method indicate the parallel-serial neural network model gives more accurate description of the solubility data of diosgenin in contrast to other patterns. It also outperforms two empirical equations in terms of calculating accuracy. In addition, this suggested model can exhibit the effect of the changes of the components and their proportions in solvent on the solution behavior of diosgenin correctly.

关键词
作者关键词:Circuit-based neural network; Diosgenin; Solubility; Mixed alcohol solvent; Carbon tetrachloride; Sum of ranking differences

KeyWords Plus:HIGH-PRESSURE; PREDICTION; OPTIMIZATION; ADSORPTION; DENSITY; SYSTEM; WATER; DYES

作者信息
通讯作者地址: Lv, HC (corresponding author)

              Anyang Inst Technol, Sch Chem & Environm Engn, Anyang 455000, Peoples R China.
地址:

              [ 1 ]‎ Anyang Inst Technol, Sch Chem & Environm Engn, Anyang 455000, Peoples R China
电子邮件地址:prolvhuichao@126.com

基金资助致谢
基金资助机构显示详情        授权号
National Natural Science Foundation of China

U1404217
Key Science and Technology Project of Henan Province        
172102310166
查看基金资助信息   
出版商
TAYLOR & FRANCIS INC, 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA

类别 / 分类
研究方向:Engineering

Web of Science 类别:Engineering, Chemical

文献信息
语言:English

入藏号: WOS:000486174500001

ISSN: 0098-6445

eISSN: 1563-5201

其他信息
IDS 号: IY1TL

Web of Science 核心合集中的 "引用的参考文献": 30

Web of Science 核心合集中的 "被引频次": 0
2楼2020-06-29 13:45:48
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aygxy_lhc

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引用回帖:
2楼: Originally posted by baiyuefei at 2020-06-29 13:45:48
Circuit-based neural network models for estimating the solubility of diosgenin
作者:Lv, HC (Lv, Huichao) ; Liu, NN (Liu, Nana) ; Tian, DY (Tian, Dayong) ; Zeng, YW (Zeng, Yuwen) ; Li, BL (Li, Baoli) ...

多谢了!
3楼2020-06-29 20:37:08
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aygxy_lhc

铁虫 (正式写手)

引用回帖:
2楼: Originally posted by baiyuefei at 2020-06-29 13:45:48
Circuit-based neural network models for estimating the solubility of diosgenin
作者:Lv, HC (Lv, Huichao) ; Liu, NN (Liu, Nana) ; Tian, DY (Tian, Dayong) ; Zeng, YW (Zeng, Yuwen) ; Li, BL (Li, Baoli) ...

有个疑问问下您,这算是SCI检索了吗?但是,到目前还没有给卷期和页码,难道不是只有分配了卷期页码之后,才可以检索吗?
4楼2020-06-29 20:39:54
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