人工神经网络在种子乳液法糊树脂生产中的应用  

Application of artificial neural network to production of PVC paste resin by seed emulsion method

作　　者：李大鹏 吴亮 王灵杰 LI Dapeng;WU Liang;WANG Lingjie(Tianjin Bohua Chemical Development Co.,Ltd.,Tianjin 300480,China)

机构地区：[1]天津渤化化工发展有限公司,天津300480

出　　处：《聚氯乙烯》2021年第12期10-13,共4页Polyvinyl Chloride

摘　　要：在36m^(3)聚合釜上进行试验,通过调节配方参数以及生产控制参数,并引人人工神经网络分析方法,用神经网络模型预测出最优的乳胶小粒子与大粒子数量比。结果表明人工神经网络能够在调节工艺配方前预测配方值,且预测值与试验值相符。Experiments were carried out in a 36 m'polymerizer.By adjusting the formula and pro-duction control parameters and introducing the artifcial neural network analysis method,the optimal number ratio of small particles to large particles in latex was prediced by the neural network model.The results showed that the artificial neural network could predict the formula value before the adjustment of the process formula,and the predicted value was consistent with the experimental value.

关 键 词：聚氯乙烯糊树脂 聚合 神经网络 模型 优化 

分 类 号：TQ325.3[化学工程—合成树脂塑料工业]