摘要
构建了基于工控机的带钢力学性能自动化检测硬件平台,完成了自动检测软件的分析和设计,核心部分采用神经网络进行建模,应用好的控制算法进行网络训练,实现了带钢力学性能预测,该平台可应用于轧钢流程的参数控制,提高生产的自动化水平。
The automation measure platform constructed by industrial control computer and the measure software was designed. The algorithm core is the artificial neural networks, and the networks training is finished by the control algorithm. Our algorithm is able to forecast the mechanical properties of strip steel. The platform can be applied in parameters control of rolling with the high level automation.
出处
《自动化博览》
2009年第12期80-82,共3页
Automation Panorama1
基金
河南省教育厅自然科学研究资助项目(2008A510014)
关键词
神经网络
力学性能
测试平台
算法
neural network
mechanical properties
measure platform
algorithm
