深度学习辅助柠檬渣解析Cu^(2+)的研究  

Study on Desorption of Cu 2+from Lemon Residues Assisted by Deep-learning

作　　者：黄波 沈王庆[1] 黄成华[1] HUANG Bo;SHEN Wang-qing;HUANG Cheng-hua(College of Chemistry and Chemical Engineering,Neijiang Normal University,Sichuan Neijiang 641112,China)

机构地区：[1]内江师范学院化学化工学院,四川内江641112

出　　处：《广州化工》2023年第4期39-41,51,共4页GuangZhou Chemical Industry

基　　金：2018年内江师范学院大学生创新创业训练计划项目(X2018071);2018年四川省教育厅重点项目(18ZA0284)。

摘　　要：为了对吸附Cu2+的柠檬渣进行解析的相关研究。实验主要考察解析时间、解析温度和解析次数对解析率的影响,在单因素基础上利用L_(9)(3^(4))正交实验,以期得到解析的最优组合和因素的主次关系。通过深度学习得到回归方程,预测最优组合与解析率,并与正交实验结果进行比较。结果表明柠檬渣解析Cu^(2+)的最优工艺条件为:解析时间为36 min、解析温度为36℃、解析次数为3次。回归方程预测的最优工艺条件和解析率与正交实验的分析结果基本一致。In order to study the desorption of Cu^(2+)from lemon residues assisted by deep-learning.The effects of desorption time,desorption temperature,and number of desorption were experimentally researched.Based on single factor,L_(9)(3^(4))orthogonal experiment was used to get the optimal combination of analysis.The primary and secondary relationship of factors was analyzed by the orthogonal experiment results.The regression equation was obtained by deep-learning.The optimal combination and resolution rate were predicted by the regression equation.Compared with the results of the orthogonal experiments,the optimal conditions for the desorption of Cu^(2+)from lemon was residued as follows:the resolving time was 36 min,the resolving temperature was 36℃,and the resolving times were 3 times.The optimal conditions and desorption rate were predicted by the regression equation.The results were basically consistent with the analysis results of the orthogonal experiment.

关 键 词：深度学习 柠檬渣 解析 回归方程 最优工艺 

分 类 号：O636[理学—高分子化学]