人工神经网络在聚丙烯酰胺合成中的应用  

Application of Artificial Neural Network in Synthesizing Polyacrylamide

作　　者：曾鹰[1] 

机构地区：[1]武汉化工学院化工与制药学院,湖北武汉430073

出　　处：《计算机与现代化》2006年第12期132-134,共3页Computer and Modernization

摘　　要：通过人工神经网络的方法优化聚丙烯酰胺的合成工艺,并利用神经网络的处理方法对结果进行非线性拟合,得到单体浓度为20%的聚丙烯酰胺的理论较佳合成工艺条件为:引发剂与丙烯酰胺的质量比为0.25%,分子量调节剂与丙烯酰胺的质量比为1.75%,乙醇和水的质量比为0.25,反应时间为4hr。通过实验验证,与理论结果基本一致。The optimum conditions of synthesizing polyaerylamide are carned out by using homogenous design and nonlinear neural network data processing method. The result shows that the optimum theoretic synthesis conditions while the concentration of polyacrylamide is 20% are as follows： the mass ratio of initiator to acryl arnide is 0.25%, the mass ratio of chain transfer agent to acryl amide is 1. 75%, the ratio of alcohol to water is 0.25 and the reaction time is 4hr. The expeximent result is also conformed to the theoretic result basically.

关 键 词：聚丙烯酰胺 均匀设计 神经网络 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]