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Circuit-based neural network models for estimating the solubility of diosgenin ×÷Õß: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 iconÔÚÏß·¢±íÈÕÆÚ: SEP 2019 ÎÄÏ×ÀàÐÍ:Article; Early Access ²é¿´ÆÚ¿¯Ó°ÏìÁ¦ ÕªÒª 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. ¹Ø¼ü´Ê ×÷Õ߹ؼü´Ê: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 ×÷ÕßÐÅÏ¢ ͨѶ×÷ÕßµØÖ·: Lv, HC (corresponding author) Anyang Inst Technol, Sch Chem & Environm Engn, Anyang 455000, Peoples R China. µØÖ·: [ 1 ] Anyang Inst Technol, Sch Chem & Environm Engn, Anyang 455000, Peoples R China µç×ÓÓʼþµØÖ·:prolvhuichao@126.com »ù½ð×ÊÖúÖÂл »ù½ð×ÊÖú»ú¹¹ÏÔʾÏêÇé ÊÚȨºÅ National Natural Science Foundation of China U1404217 Key Science and Technology Project of Henan Province 172102310166 ²é¿´»ù½ð×ÊÖúÐÅÏ¢ ³ö°æÉÌ TAYLOR & FRANCIS INC, 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA Àà±ð / ·ÖÀà Ñо¿·½Ïò:Engineering Web of Science Àà±ð:Engineering, Chemical ÎÄÏ×ÐÅÏ¢ ÓïÑÔ:English Èë²ØºÅ: WOS:000486174500001 ISSN: 0098-6445 eISSN: 1563-5201 ÆäËûÐÅÏ¢ IDS ºÅ: IY1TL Web of Science ºËÐĺϼ¯ÖÐµÄ "ÒýÓõIJο¼ÎÄÏ×": 30 Web of Science ºËÐĺϼ¯ÖÐµÄ "±»ÒýƵ´Î": 0 |
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