摘要
通过对铜扁线连续挤压设备关键控制系统的分析,利用基于 VB 的模糊神经网络控制方法,实现对腔体温度的自动控制,并给出了 MATLAB 仿真结果。
The authors analyze the key control system of flat copper wire continuous extrusion equipments, and put forward a fuzzy neural network control method based on the VB to realize the temperature auto-control of cavity body, and offer its MATLAB simulation result.
出处
《有色金属加工》
CAS
2006年第4期55-57,共3页
Nonferrous Metals Processing
关键词
连续挤压
BP模糊神经网络
自适应
MATLAB
continuous extrusion
back propagation fuzzy neural network
self-adapting
matrix laboratory
