摘要
烟草生产企业的制丝生产线是烟草生产企业最重要的环节,也是一个复杂的非线性系统,制丝生产线的好坏直接决定了卷烟质量。为了解决制丝生产线参数调节问题、提高生产质量,需要对制丝生产线进行仿真研究。现今在国内还没有对其进行过建模分析。文章结合制丝生产线的实际情况,提出了引入反馈和延时的RBF神经网络网络模型制丝生产线仿真模型,并以制丝生产线中的加料机模型进行仿真,取得了良好的效果。
The tobacco strips product line is the most important workshop in tobacco enterprise,It is also a very complicated non-linear system,the quality of tobacco is directly influenced by the condition of tobacco strips product line.In order to solve the problem of parameter adjusting and improving the quality of tobacco,it needs to analyze the tobacco strips product line by simulative model.There is no analysis to tobacco strips product line by model inland.This paper brings out a tobacco strips product line simulative model based on RBF neural network with feed and time delay.It's use the model of the seasoning machine to simulate,and works well.
出处
《计算机工程与应用》
CSCD
北大核心
2005年第21期230-232,共3页
Computer Engineering and Applications
关键词
制丝生产
RBF神经网络
非线性系统
tobacco strips produce,RBF neural network,non-linear system
