Therefore, flatness control has become the key to the steel system. Flatness pattern recognition is the precondition and the important part of the flatness control system as well as the hot topic.
因此,板形控制日益成为钢铁企业面临的重要课题,板形模式识别是板形控制的前提,为板形闭环控制系统的关键环节,也是板形控制研究的热点问题。
参考来源 - 板形模式识别与控制的智能方法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
分析比较了各主要模式识别方法的特点。对板形模式识别方法的发展趋势进行了讨论。
The characteristics of various chief pattern recognition methods are analyzed and compared, and the trend of development of the method is symposiumed.
为制定合理的控制策略，须对实测板形进行模式识别，并以约定的参数定量地提供给下一控制环节。
The real shape must be recognized to establish rational control strategy and the recognition results must be quantificationally provided to the next control link with promissory parameters.
本文提出了基于模糊距离的R BF网络板形缺陷模式识别法。
In this paper, we put forward using RBF network to flatness pattern recognition.
应用推荐